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International Journal of Genomics, Proteomics, Metabolomics & Bioinformatics (IJGPMB)    IJGPMB-2577-4336-03-101

The Significant and Profound Impacts of Gordon Life Science Institute


Kuo-Chen Chou*

Gordon Life Science Institute, Boston, Massachusetts 02478, United States of America.

*Corresponding Author

Kuo-Chen Chou,
Gordon Life Science Institute, Boston, Massachusetts 02478, United States of America.
E-mail: kcchou@gordonlifescience.org/kcchou38@gmail.com

Received: November 21, 2020; Accepted: November 22, 2020; Published: November 23, 2020

Citation: Kuo-Chen Chou. The Significant and Profound Impacts of Gordon Life Science Institute. Int J Genomics Proteomics Metabolomics Bioinformatics. 2020;3(1):44-51. doi: dx.doi.org/10.19070/2577-4336-200008

Copyright: Kuo-Chen Chou© 2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.


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1.References

The “Gordon Life Science” or “GLS” Institute is the first Internet Institute in the world. Established by Prof. Dr. Kuo-Chen Chou in 2003, right after he was retired from “Pfizer Global Research and Development” in San Diego, California.

There is a very interesting story for the name of Institute as elaborated below.

After the “gangs of four” (including Mao Zedong's wife) was smashed and the complete failure of Mao “Cultural Revolution”, China was under the leadership of Deng Xiaoping, who took the policy of “韬光养晦”starting to open China’s door, the founder was invited by Professor StureForsén, the then “Chairman of Nobel Prize Committee”, to work in Chemical Center of Lund University as a Visiting Professor. It was very difficult for Swedish people to pronounce “Kuo-Chen Chou”. In order for his colleagues and friends there easier to pronounce his name, Professor Chou used “Gordon” as his name in Sweden.

In 2003, about a quarter of century later, the same name was used for the Institute, meaning that Deng’s “韬光养晦” policy can stimulate a lot of great creativities.

Accordingly, strictly speaking, it is in "Lund of Sweden" where the "Gordon Life Science Institute" has already been of pregnancy. But after 30 years in 2003, the Institute has been really born in San Diego of California. And its current liaison site is in Boston of Massachusetts. For more information about the Institute, click the button at https://gordonlifescience.org/GordonLifeScience. html.

The Institute is superior to any of the conversional institutes in both the number of the publications and their novelty (see, e.g., [1-341]).

Up to March, 2019, the Institute has 26 members. Among them 5 have been selected by Thompson Reuter and Clarivate Analytics as the “Highly Cited Researcher” or “HCR”: (1) Xoan Xiao (2018), (2) Hao Lin (2018), (3) Wei Chen (2018), (4) Hong-Bin Shen (2014 and 2015), and (5) Kuo-Chen Chou for continuously 5 years (2014, 2015, 2016, 2017, and 2018), indicating that for the ratio of HCR per member, the “Gordon Life Science Institute” has already exceeded the “Broad Institute of MIT and Harvard, USA”, becoming the very top in the world.

Particularly, facing the Pandemic COVID-2019, the Gordon Life Science Institute has the overwhelming advantages to the conventional Institutions or Institutes.

It is indeed a very important strategy to develop the Internet Institutes such as “Gordon Life Science Institute”, and it is indeed very profound as well for saving our planet.


References

  1. KC Chou, DQ Wei, WZ Zhong. Binding mechanism of coronavirus main proteinase with ligands and its implication to drug design against SARS. Biochem Biophys Res Comm. 2003; 308: 148-151. PMID: 12890493.
  2. QS Du, DQ Wei, KC Chou. Correlation of amino acids in proteins. Peptides. 2003; 24(12): 1863-1869. PMID: 15127938.
  3. YD Cai, KC Chou. Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo amino acid composition. Biochem Biophys Res Comm. 2003; 305: 407- 411. PMID: 12745090.
  4. KC Chou, YD Cai. Predicting protein quaternary structure by pseudo amino acid composition. Proteins. 2003; 53(2): 282-289. PMID: 14517979.
  5. KC Chou, YD Cai. Prediction and classification of protein subcellular location: sequence-order effect and pseudo amino acid composition. Journal of Cellular Biochemistry. 2003; 90(6): 1250-1260. PMID: 14635197.
  6. KC Chou, DW Elrod. Prediction of enzyme family classes. Journal of Proteome Research. 2003; 2(2): 183-190. PMID: 12716132.
  7. YD Cai, GP Zhou, KC Chou. Support vector machines for predicting membrane protein types by using functional domain composition. Biophys J. 2003; 84(5): 3257-3263. PMID: 12719255.
  8. YD Cai, S Lin, KC Chou. Support vector machines for prediction of protein signal sequences and their cleavage sites. Peptides. 2003; 24(1): 159-161. PMID: 12576098.
  9. YD Cai, R Pong-Wong, K Feng, JCH Jen, KC Chou. Application of SVM to predict membrane protein types. J. Theor. Biol. 2004; 226(4): 373-376. PMID: 14759643.
  10. KC Chou. Insights from modelling the 3D structure of the extracellular domain of a7 nicotinic acetylcholine receptor. Biochem. Biophys. Res. Commun. 2004; 319 (2): 433-438. PMID: 15178425.
  11. Chou KC. Insights from modeling the tertiary structure of human BACE2. Journal of proteome research. 2004 Oct 11; 3(5): 1069-72.
  12. KC Chou. Insights from modelling three-dimensional structures of the human potassium and sodium channels. Journal of Proteome Research. 2004; 3(4): 856-861. PMID: 15359741.
  13. KC Chou. Modelling extracellular domains of GABA-A receptors: subtypes 1, 2, 3, and 5. Biochemical and Biophysical Research Communications. 2004; 316(3): 636-642.
  14. KC Chou, YD Cai. A novel approach to predict active sites of enzyme molecules. Proteins. 2004; 55(1): 77-82. PMID: 14997541.
  15. QS Du, SQ Wang, DQ Wei, Y Zhu, H Guo, S Sirois, et al. Polyprotein Cleavage Mechanism of SARS CoV Mpro and Chemical Modification of Octapeptide. Peptides. 2004; 25(11): 1857-1864. PMID: 15501516.
  16. KC Chou. Structural bioinformatics and its impact to biomedical science. Current Medicinal Chemistry. 2004; 11(16): 2105-2134. PMID: 15279552.
  17. QS Du, SQ Wang, ZQ Jiang, WN Gao, YD Li, DQ Wei, et al. Application of bioinformatics in search for cleavable peptides of SARS-CoV Mpro and chemical modification of octapeptides. Medicinal Chemistry. 2005; 1(3): 209-213. PMID: 16787316.
  18. X Xiao, S Shao, Y Ding, Z Huang, X Chen, KC Chou. An Application of Gene Comparative Image for Predicting the Effect on Replication Ratio by HBV Virus Gene Missense Mutation. J. Theor. Biol. 2005; 235(4): 555- 565. PMID: 15935173.
  19. S Sirois, GE Hatzakis, DQ Wei, QS Du, KC Chou. Assessment of chemical libraries for their druggability. Computational Biology & Chemistry. 2005; 29(1): 55-67. PMID: 15680586.
  20. Feng KY, Cai YD, Chou KC. Boosting classifier for predicting protein domain structural class. Biochemical and biophysical research communications. 2005 Aug 19; 334(1): 213-7.
  21. KC Chou. Coupling interaction between thromboxane A2 receptor and alpha- 13 subunit of guanine nucleotide-binding protein. Journal of Proteome Research. 2005; 4(5): 1681-1686. PMID: 16212421.
  22. QS Du, PG Mezey, KC Chou. Heuristic Molecular Lipophilicity Potential (HMLP): A 2D-QSAR Study to LADH of Molecular Family Pyrazole and Derivatives. J. Comput. Chem. 2005; 26 (5): 461-470. PMID: 15690416.
  23. KC Chou. Insights from modeling the 3D structure of DNA-CBF3b complex. Journal of Proteome Research. 2005; 4(5): 1657-1660. PMID: 16212418.
  24. QS Du, S Wang, DQ Wei, S Sirois, KC Chou. Molecular modelling and chemical modification for finding peptide inhibitor against SARS CoV Mpro. Anal. Biochem. 2005; 337(2): 262-270. PMID: 15691506.
  25. . M Wang, JS Yao, ZD Huang, ZJ Xu, GP Liu, HY Zhao, et al. A new nucleotide- composition based fingerprint of SARS-CoV with visualization analysis. Medicinal Chemistry. 2005; 1(1): 39-47. PMID: 16789884.
  26. DQ Wei, KC Chou, YR Gan, QS Du. A Polypeptide and Its Derivatives as Inhibitors Against SARS. China. 2005.
  27. . YD Cai, GP Zhou, KC Chou. Predicting enzyme family classes by hybridizing gene product composition and pseudo amino acid composition. J. Theor. Biol. 2005; 234(1): 145-149. PMID: 15721043.
  28. YD Cai, KC Chou. Predicting enzyme subclass by functional domain composition and pseudo amino acid composition. Journal of Proteome Research. 2005; 4(3): 967-971. PMID: 15952744.
  29. Chou KC, Cai YD. Predicting protein localization in budding yeast. Bioinformatics. 2005 Apr 1; 21(7): 944-50.
  30. HB Shen, KC Chou. Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition. Biochem Biophys Res Comm. 2005; 337(3): 752-756. PMID: 16213466.
  31. KC Chou, YD Cai. Prediction of membrane protein types by incorporating amphipathic effects. Journal of Chemical Information and Modeling. 2005; 45(2): 407-413. PMID: 15807506.
  32. Liu H, Yang J, Ling JG, Chou KC. Prediction of protein signal sequences and their cleavage sites by statistical rulers. Biochemical and biophysical research communications. 2005 Dec 16; 338(2): 1005-11.
  33. TL Shi, YX Li, YD Cai, KC Chou. Computational methods for protein - protein interaction and their application. Current Protein and Peptide Science. 2005; 6(5): 443-449. PMID: 16248796.
  34. S Sirois, T Sing, KC Chou. HIV-1 gp120 V3 loop for structure-based drug design. Current Protein and Peptide Science. 2005; 6(5): 413-422. PMID: 16248793.
  35. ZR Yang, L Wang, N Young, KC Chou. Pattern recognition methods for protein functional site prediction. Current Protein and Peptide Science. 2005; 6(5): 479-491. PMID: 16248799.
  36. KC Chou. Progress in protein structural class prediction and its impact to bioinformatics and proteomics. Current Protein and Peptide Science. 2005; 6(5): 423-436. PMID: 16248794.
  37. S Sirois, CM Tsoukas, KC Chou, DQ Wei, C Boucher, GE Hatzakis. Selection of Molecular Descriptors with Artificial Intelligence for the Understanding of HIV-1 Protease Peptidomimetic Inhibitors-activity. Medicinal Chemistry. 2005; 1(2): 173-184. PMID: 16787312.
  38. M Wang, J Yang, ZJ Xu, KC Chou. SLLE for predicting membrane protein types. J. Theor. Biol. 2005; 232(1): 7-15. PMID: 15498588.
  39. DQ Wei, S Sirois, QS Du, HR Arias, KC Chou. Theoretical studies of Alzheimer's disease drug candidate [(2,4-dimethoxy) benzylidene]-anabaseine dihydrochloride (GTS-21) and its derivatives. Biochem Biophys Res Commun. 2005; 338(2): 1059-1064. PMID: 16256952.
  40. KC Chou. Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes. Bioinformatics. 2005; 21(1): 10-19. PMID: 15308540.
  41. X Xiao, S Shao, Y Ding, Z Huang, X Chen, KC Chou. Using cellular automata to generate Image representation for biological sequences. Amino Acids. 2005; 28(1): 29-35. PMID: 15700108.
  42. X Xiao, S Shao, Y Ding, Z Huang, Y Huang, KC Chou. Using complexity measure factor to predict protein subcellular location. Amino Acids. 2005; 28(1): 57-61. PMID: 15611847.
  43. H Liu, J Yang, M Wang, L Xue, KC Chou. Using Fourier spectrum analysis and pseudo amino acid composition for prediction of membrane protein types. The Protein Journal. 2005; 24(6): 385-389. PMID: 16323044.
  44. YD Cai, KC Chou. Using functional domain composition to predict enzyme family classes. Journal of Proteome Research. 2005; 4(1): 109-111. PMID: 15707365.
  45. KC Chou, YD Cai. Using GO-PseAA predictor to identify membrane proteins and their types. Biochem Biophys Res Comm. 2005; 327(3): 845-847.
  46. Y Gao, SH Shao, X Xiao, YS Ding, YS Huang, ZD Huang, et al. Using pseudo amino acid composition to predict protein subcellular location: approached with Lyapunov index, Bessel function, and Chebyshev filter. Amino Acids. 2005; 28(4): 373-376. PMID: 15889221.
  47. M Wang, J Yang, KC Chou. Using string kernel to predict signal peptide cleavage site based on subsite coupling model. Amino Acids. 2005; 28(4): 395-402. PMID: 15838592.
  48. HB Shen, J Yang, XJ Liu, KC Chou. Using supervised fuzzy clustering to predict protein structural classes. Biochem Biophys Res Commun. 2005; 334(2): 577-581. PMID: 16023077.
  49. KC Chou, HB Shen. Hum-PLoc: A novel ensemble classifier for predicting human protein subcellular localization. Biochem. Biophys. Res. Commun. 2006; 347(1): 150-157. PMID: 16808903.
  50. QS Du, ZQ Jiang, WZ He, DP Li, KC Chou. Amino acid principal component analysis (AAPCA) and its applications in protein structural class prediction. Journal of Biomolecular Structure and Dynamics. 2006; 23(6): 635-640. PMID: 16615809.
  51. Y Bai, D Wang, ZX Yu, Y Jia, FY Zhu, DQ Wei, et al. Ecdysterone determination of niuxi by the near-infrared diffuse reflection spectroscopy (NIRDRS). Spectroscopy. 2006; 21(5): 40-43.
  52. HB Shen, J Yang, KC Chou. Fuzzy KNN for predicting membrane protein types from pseudo amino acid composition. J. Theor. Biol. 2006; 240(1): 9-13. PMID: 16197963.
  53. QS Du, DP Li, WZ He, KC Chou. Heuristic molecular lipophilicity potential (HMLP): lipophilicity and hydrophilicity of amino acid side chains. J. Comput. Chem. 2006; 27(6): 685-692. PMID: 16485322.
  54. Chou KC, Shen HB. Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization. Biochemical and biophysical research communications. 2006 Aug 18; 347(1): 150-7.
  55. Wei DQ, Du QS, Sun H, Chou KC. Insights from modeling the 3D structure of H5N1 influenza virus neuraminidase and its binding interactions with ligands. Biochemical and biophysical research communications. 2006 Jun 9; 344(3): 1048-55.
  56. R Zhang, DQ Wei, QS Du, KC Chou. Molecular modeling studies of peptide drug candidates against SARS. Medicinal Chemistry. 2006; 2(3): 309- 314. PMID: 16948478.
  57. Gao L, Ding YS, Dai H, Shao SH, Huang ZD, Chou KC. A novel fingerprint map for detecting SARS-CoV. Journal of pharmaceutical and biomedical analysis. 2006 Apr 11; 41(1): 246-50.
  58. KC Chou, HB Shen. Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-nearest neighbor classifiers. Journal of Proteome Research. 2006; 5(8): 1888-1897. PMID: 16889410.
  59. YD Cai, KC Chou. Predicting membrane protein type by functional domain composition and pseudo amino acid composition. J. Theor. Biol. 2006; 238(2): 395-400. PMID: 16040052.
  60. Chou KC, Cai YD, Zhong WZ. Predicting networking couples for metabolic pathways of Arabidopsis. EXCLI J. 2006 May 19; 5: 55-65.
  61. Chou KC, Shen HB. Predicting protein subcellular location by fusing multiple classifiers. Journal of Cellular Biochemistry. 2006 Oct 1; 99(2): 517- 27.
  62. KC Chou, YD Cai. Predicting protein-protein interactions from sequences in a hybridization space. Journal of Proteome Research. 2006; 5(2): 316- 322. PMID: 16457597.
  63. Chou KC, Cai YD. Prediction of protease types in a hybridization space. Biochemical and Biophysical Research Communications. 2006 Jan 20; 339(3): 1015-20.
  64. Xiao X, Shao SH, Chou KC. A probability cellular automaton model for hepatitis B viral infections. Biochemical and biophysical research communications. 2006 Apr 7; 342(2): 605-10.
  65. KC Chou, DQ Wei, QS Du, S Sirois, WZ Zhong. Progress in computational approach to drug development against SARS. Current Medicinal Chemistry. 2006; 13(27): 3263-3270. PMID: 17168850.
  66. W Kem, F Soti, S LeFrancois, K Wildeboer, K MacDougall, DQ Wei, et al. The nemertine toxin anabaseine and its derivative DMXBA (GTS-21): chemical and pharmacological properties. Marine Drugs. 2006; 4(3): 255- 273.
  67. X Xiao, SH Shao, YS Ding, ZD Huang, KC Chou. Using cellular automata images and pseudo amino acid composition to predict protein subcellular location. Amino Acids. 2006; 30(1): 49-54. PMID: 16044193.
  68. SQ Wang, J Yang, KC Chou. Using stacked generalization to predict membrane protein types based on pseudo amino acid composition. J. Theor. Biol. 2006; 242(4): 941-946. PMID: 16806277.
  69. WN Gao, DQ Wei, Y Li, H Gao, WR Xu, AX Li, et al. Agaritine and its derivatives are potential inhibitors against HIV proteases. Medicinal Chemistry. 2007; 3(3): 221-226. PMID: 17504192.
  70. QS Du, SQ Wang, KC Chou. Analogue inhibitors by modifying oseltamivir based on the crystal neuraminidase structure for treating drug-resistant H5N1 virus. Biochem Biophys Res Comm. 2007; 362(2): 525-531.
  71. Li L, Wei DQ, Wang JF, Chou KC. Computational studies of the binding mechanism of calmodulin with chrysin. Biochemical and biophysical research communications. 2007 Jul 13; 358(4): 1102-7.
  72. X Xiao, KC Chou. Digital coding of amino acids based on hydrophobic index. Protein & Peptide Letters. 2007; 14(9): 871-875. PMID: 18045228.
  73. KC Chou, HB Shen. Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites. Journal of Proteome Research. 2007; 6(5): 1728-1734. PMID: 17397210.
  74. HB Shen, KC Chou. EzyPred: A top-down approach for predicting enzyme functional classes and subclasses. Biochem Biophys Res Comm. 2007; 364(1): 53-59. PMID: 17931599.
  75. HB Shen, KC Chou. Gpos-PLoc: an ensemble classifier for predicting subcellular localization of Gram-positive bacterial proteins. Protein Engineering Design and Selection. 2007; 20(1): 39-46. PMID: 17244638.
  76. QS Du, H Sun, KC Chou. Inhibitor design for SARS coronavirus main protease based on "distorted key theory". Medicinal Chemistry. 2007; 3(1): 1-6. PMID: 17266617.
  77. KC Chou, HB Shen. MemType-2L: A Web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM. Biochem Biophys Res Comm. 2007; 360(2): 339-345. PMID: 17586467.
  78. Wei H, Zhang R, Wang C, Zheng H, Li A, Chou KC, Wei DQ. Molecular insights of SAH enzyme catalysis and implication for inhibitor design. Journal of theoretical biology. 2007 Feb 21; 244(4): 692-702.
  79. Shen HB, Chou KC. Nuc-PLoc: a new web-server for predicting protein subnuclear localization by fusing PseAA composition and PsePSSM. Protein Engineering, Design & Selection. 2007 Nov 1; 20(11): 561-7.
  80. QS Du, RB Huang, YT Wei, CH Wang, KC Chou. Peptide reagent design based on physical and chemical properties of amino acid residues. J. Comput. Chem. 2007; 28(12): 2043-2050. PMID: 17450553.
  81. DQ Liu, H Liu, HB Shen, J Yang, KC Chou. Predicting secretory protein signal sequence cleavage sites by fusing the marks of global alignments. Amino Acids. 2007; 32(4): 493-496. PMID: 17103116.
  82. Du QS, Wei YT, Pang ZW, Chou KC, Huang RB. Predicting the affinity of epitope-peptides with class I MHC molecule HLA-A* 0201: an application of amino acid-based peptide prediction. Protein Engineering, Design & Selection. 2007 Sep 1; 20(9): 417-23.
  83. J Chen, H Liu, J Yang, KC Chou. Prediction of linear B-cell epitopes using amino acid pair antigenicity scale. Amino Acids. 2007; 33(3): 423-428. PMID: 17252308. https://pubmed.ncbi.nlm.nih.gov/17252308/
  84. YS Ding, TL Zhang, KC Chou. Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network. Protein & Peptide Letters. 2007; 14(8): 811-815. PMID: 17979824.
  85. KC Chou, HB Shen. Recent progresses in protein subcellular location prediction. Anal. Biochem. 2007; 370(1): 1-16. PMID: 17698024.
  86. S Sirois, M Touaibia, KC Chou, R Roy. Glycosylation of HIV-1 gp120 V3 loop: towards the rational design of a synthetic carbohydrate vaccine. Current Medicinal Chemistry. 2007; 14(30): 3232-3242. PMID: 18220757.
  87. HB Shen, J Yang, KC Chou. Methodology development for predicting subcellular localization and other attributes of proteins. Expert Review of Proteomics. 2007; 4(4): 453-463. PMID: 17705704.
  88. Chou KC, Shen HB. Signal-CF: a subsite-coupled and window-fusing approach for predicting signal peptides. Biochemical and biophysical research communications. 2007 Jun 8; 357(3): 633-40.
  89. HB Shen, KC Chou. Using ensemble classifier to identify membrane protein types. Amino Acids. 2007; 32(4): 483-488. PMID: 17031474.
  90. SQ Wang, QS Du, K Zhao, AX Li, DQ Wei, KC Chou. Virtual screening for finding natural inhibitor against cathepsin-L for SARS therapy. Amino Acids. 2007; 33(1): 129-135. PMID: 16998715.
  91. . KC Chou, HB Shen. Cell-PLoc: A package of Web servers for predicting subcellular localization of proteins in various organisms. Nature Protocols. 2008; 3(2): 153-162. PMID: 18274516.
  92. XL Guo, L Li, DQ Wei, YS Zhu, KC Chou. Cleavage mechanism of the H5N1 hemagglutinin by trypsin and furin. Amino Acids. 2008; 35(2): 375- 382. PMID: 18235997.
  93. G Aguero-Chapin, A Antunes, FM Ubeira, KC Chou, H Gonzalez-Diaz. Comparative Study of Topological Indices of Macro/Supra-molecular RNA Complex Networks. Journal of Chemical Information & Modeling. 2008; 48(11): 2265-2277. PMID: 18937437.
  94. Yang ZR, Chou KC. Correlation of metabolic pathways with the primary structure in acetylated proteins. The Open Bioinformatics Journal. 2008 Dec 19; 2(1).
  95. SW Zhang, YL Zhang, Q Pan, YM Cheng, KC Chou. Estimating residue evolutionary conservation by introducing von Neumann entropy and a novel gap-treating approach. Amino Acids. 2008; 35((2): 495-501. PMID: 17710364.
  96. HB Shen, KC Chou. HIVcleave: a web-server for predicting HIV protease cleavage sites in proteins. Anal. Biochem. 2008; 375(2): 388-390. PMID: 18249180.
  97. Huang RB, Du QS, Wang CH, Chou KC. An in-depth analysis of the biological functional studies based on the NMR M2 channel structure of influenza A virus. Biochemical and biophysical research communications. 2008 Dec 26; 377(4): 1243-7.
  98. JF Wang, DQ Wei, C Chen, Y Li, KC Chou. Molecular modeling of two CYP2C19 SNPs and its implications for personalized drug design. Protein & Peptide Letters. 2008; 15(1): 27-32. PMID: 18221009.
  99. Wang JF, Wei DQ, Du HL, Li YX, Chou KC. Molecular modeling studies on NADP-dependence of Candida tropicalis strain xylose reductase. The Open Bioinformatics Journal. 2008 Dec 4; 2(1).
  100. QS Du, RB Huang, YT Wei, LQ Du, KC Chou. Multiple Field Three Dimensional Quantitative Structure-Activity Relationship (MF-3D-QSAR). J. Comput. Chem. 2008; 29(2): 211-219. PMID: 17559075.
  101. T Wang, J Yang, HB Shen, KC Chou. Predicting membrane protein types by the LLDA algorithm. Protein & Peptide Letters. 2008; 15(9): 915-921. PMID: 18991767.
  102. X Xiao, P Wang, KC Chou. Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image. J. Theor. Biol. 2008; 254(3): 691-696. PMID: 18634802.
  103. TL Zhang, YS Ding, KC Chou. Prediction protein structural classes with pseudo amino acid composition: approximate entropy and hydrophobicity pattern. J. Theor. Biol. 2008; 250(1): 186-193. PMID: 17959199.
  104. Chou KC, Shen HB. ProtIdent: A web server for identifying proteases and their types by fusing functional domain and sequential evolution information. Biochemical and Biophysical Research Communications. 2008 Nov 14; 376(2): 321-5.
  105. HB Shen, KC Chou. A flexible web-server for generating various kinds of protein pseudo amino acid composition. Anal. Biochem. 2008; 373(2): 386-388. PMID: 17976365.
  106. JF Wang, DQ Wei, L Li, KC Chou. Drug candidates from traditional Chinese medicines. Current Topics in Medicinal Chemistry. 2008; 8(18): 1656- 1665. PMID: 19075772.
  107. Wang JF, Wei DQ, Chou KC. Pharmacogenomics and personalized use of drugs. Current topics in medicinal chemistry. 2008 Dec 1; 8(18): 1573-9.
  108. QS Du, RB Huang, KC Chou. Recent advances in QSAR and their applications in predicting the activities of chemical molecules, peptides and proteins for drug design. Current Protein & Peptide Science. 2008; 9(3): 248-260. PMID: 18537680.
  109. Cruz-Monteagudo M, Munteanu CR, Borges F, Cordeiro MN, Uriarte E, Chou KC, et al. Stochastic molecular descriptors for polymers. 4. Study of complex mixtures with topological indices of mass spectra spiral and star networks: The blood proteome case. Polymer. 2008 Nov 24; 49(25): 5575- 87.
  110. Chou K. Automated prediction of protein attributes and its impact on biomedicine and drug discovery. Automation in Proteomics and Genomics: An Engineering Case-Based Approach. 2009 Mar 19.
  111. K Gong, L Li, JF Wang, F Cheng, DQ Wei, KC Chou. Binding mechanism of H5N1 influenza virus neuraminidase with ligands and its implication for drug design. Medicinal Chemistry. 2009; 5(3): 242-249. PMID: 19442214.
  112. JF Wang, JY Yan, DQ Wei, KC Chou. Binding of CYP2C9 with diverse drugs and its implications for metabolic mechanism. Medicinal Chemistry. 2009; 5(3): 263-270. PMID: 19442216.
  113. QS Du, RB Huang, CH Wang, XM Li, KC Chou. Energetic analysis of the two controversial drug binding sites of the M2 proton channel in influenza A virus. J. Theor. Biol. 2009; 259(1): 159-164. PMID: 19285514.
  114. QS Du, RB Huang, YT Wei, ZW Pang, LQ Du, KC Chou. Fragment- Based Quantitative Structure-Activity Relationship (FB-QSAR) for Fragment-Based Drug Design. J. Comput. Chem. 2009; 30(2): 295-304. PMID: 18613071.
  115. HB Shen, KC Chou. Gpos-mPLoc: A top-down approach to improve the quality of predicting subcellular localization of Gram-positive bacterial proteins. Protein & Peptide Letters. 2009; 16(12): 1478-1484. PMID: 20001911.
  116. HB Shen, KC Chou. Identification of proteases and their types. Anal. Biochem. 2009; 385(1): 153-160. PMID: 19007742.
  117. H Wei, CH Wang, QS Du, J Meng, KC Chou. Investigation into adamantane- based M2 inhibitors with FB-QSAR. Medicinal Chemistry. 2009; 5(4): 305-317. PMID: 19689387.
  118. Wang JF, Zhang CC, Yan JY, Chou KC, Wei DQ. Molecular modeling of CYP proteins and its implication for personal drug design. Automation in Proteomics and Genomics. 2009 Mar 19.
  119. . Huang RB, Du QS, Wei YT, Pang ZW, Wei H, Chou KC. Physics and chemistry-driven artificial neural network for predicting bioactivity of peptides and proteins and their design. Journal of theoretical biology. 2009 Feb 7; 256(3): 428-35.
  120. RX Gu, H Gu, ZY Xie, JF Wang, HR Arias, DQ Wei, et al. Possible drug candidates for Alzheimer's disease deduced from studying their binding interactions with alpha7 nicotinic acetylcholine receptor. Medicinal Chemistry. 2009; 5(3): 250-262. PMID: 19442215.
  121. HB Shen, KC Chou. Predicting protein fold pattern with functional domain and sequential evolution information. J. Theor. Biol. 2009; 256(3): 441-446. PMID: 18996396.
  122. Xiao X, Wang P, Chou KC. Predicting the quaternary structure attribute of a protein by hybridizing functional domain composition and pseudo amino acid composition. Journal of Applied Crystallography. 2009 Apr 1; 42(2): 169-73.
  123. Chou KC. Pseudo amino acid composition and its applications in bioinformatics, proteomics and system biology. Current Proteomics. 2009 Dec 1; 6(4): 262-74.
  124. Chou KC, Shen HB. Recent advances in developing web-servers for predicting protein attributes. Natural Science. 2009 Sep 28; 1(02): 63.
  125. Shen HB, Wang JF, Yao LX, Yang J, Chou KC. Recent Progress of Bioinformatics in Membrane Protein Structural Studies. Automation in Proteomics and Genomics. 2009 Mar 19.
  126. JF Wang, CC Zhang, KC Chou, DQ Wei. Structure of cytochrome P450s and personalized drug. Current Medicinal Chemistry. 2009; 16(2): 232- 244. PMID: 19149574.
  127. Madkan A, Blank M, Elson E, Chou KC, Geddis MS, Goodman R. Steps to the clinic with ELF EMF. Natural Science. 2009 Dec 15;1(03): 157.
  128. KC Chou, DQ Wei, QS Du, S Sirois, HB Shen, WZ Zhong. Study of inhibitors against SARS coronavirus by computational approaches. Viral proteases and antiviral protease inhibitor therapy. 2009; 8: 1-23.
  129. HB Shen, KC Chou. A top-down approach to enhance the power of predicting human protein subcellular localization: Hum-mPLoc 2.0. Anal. Biochem. 2009; 394(2): 269-274. PMID: 19651102.
  130. YS Ding, TL Zhang, Q Gu, PY Zhao, KC Chou. Using maximum entropy model to predict protein secondary structure with single sequence. Protein & Peptide Letters. 2009; 16(5): 552-560. PMID: 19442235.
  131. QS Du, RB Huang, KC Chou. Advances in visual representation of molecular potentials. Expert Opinion on Drug Discovery. 2010; 5(6): 513-527. PMID: 22823164.
  132. L Chen, T Huang, XH Shi, YD Cai, KC Chou. Analysis of protein pathway networks using hybrid properties Molecules. 2010; 15(11): 8177-8192. PMID: 21076385.
  133. KC Chou, HB Shen. Cell-PLoc 2.0: An improved package of web-servers for predicting subcellular localization of proteins in various organisms. Natural Science. 2008; 3(2): 153-62. PMID: 18274516.
  134. Qi JP, Ding YS, Shao SH, Zeng XH, Chou KC. Cellular responding kinetics based on a model of gene regulatory networks under radiotherapy. Health. 2010 Feb 24;2(02):137.
  135. Du QS, Wang SQ, Huang RB, Chou KC. Computational 3D structures of drug-targeting proteins in the 2009-H1N1 influenza A virus. Chemical Physics Letters. 2010 Jan 18; 485(1-3):191-5.
  136. Chou KC. The cradle of Gordon Life Science Institute and its development and driving force. Int J Biol Genetics. 2019;1:1-28.
  137. QS Du, RB Huang, SQ Wang, KC Chou. Designing inhibitors of M2 proton channel against H1N1 swine influenza virus. PLoS ONE. 2010; 5(2): e9388. PMID: 20186344.
  138. HB Shen, KC Chou. Gneg-mPLoc: A top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins. Journal of Theoretical Biology. 2010; 264(2): 326-333. PMID: 20093124.
  139. KC Chou. Graphic rule for drug metabolism systems. Current Drug Metabolism. 2010; 11(4): 369-378. PMID: 20446902.
  140. Ren LH, Shen YZ, Ding YS, Chou KC. Bio‐entity network for analysis of protein–protein interaction networks. Asian Journal of Control. 2011 Sep; 13(5): 726-37.
  141. X Xiao, P Wang, KC Chou. Cellular automata and its applications in protein bioinformatics. Current Protein & Peptide Science. 2011; 12(6): 508- 519. PMID: 21787298.
  142. T Huang, L Chen, YD Cai, KC Chou. Classification and analysis of regulatory pathways using graph property, biochemical and physicochemical property, and functional property. PLoS ONE. 2011; 6(9): e25297. PMID: 21980418.
  143. X Xiao, P Wang, KC Chou. GPCR-2L: Predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions. Molecular Biosystems. 2011; 7(3): 911-919. PMID: 21180772.
  144. Wan SB, Hu LL, Niu S, Wang K, Cai YD, Lu WC, Chou KC. Identification of multiple subcellular locations for proteins in budding yeast. Current Bioinformatics. 2011 Mar 1; 6(1): 71-80.
  145. L Cai, Y Wang, JF Wang, KC Chou. Identification of proteins interacting with human SP110 during the process of viral infections. Medicinal Chemistry. 2011; 7(2): 121-126. PMID: 21222611.
  146. WZ Lin, JA Fang, X Xiao, KC Chou. iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model. PLoS ONE. 2011; 6(9): e24756. PMID: 21935457.
  147. JF Wang, KC Chou. Insights from modeling the 3D structure of New Delhi metallo-beta-lactamase and its binding interactions with antibiotic drugs. PLoS ONE. 2011; 6(4): e18414. PMID: 21494599.
  148. LL Hu, C Chen, T Huang, YD Cai, KC Chou. Predicting biological functions of compounds based on chemical-chemical interactions. PLoS ONE. 2011; 6(12): e29491. PMID: 22220213.
  149. L Hu, T Huang, X Shi, WC Lu, YD Cai, KC Chou. Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties. PLoS ONE. 2011; 6(1): e14556. PMID: 21283518.
  150. LL Hu, S Niu, XH Shi, YD Cai, KC Chou. Prediction and analysis of protein palmitoylation sites. Biochimie. 2011; 93(3): 489-496. PMID: 21075167.
  151. QS Du, H Wei, RB Huang, KC Chou. Progress in structure-based drug design against influenza A virus. Expert Opinion. 2011; 6(6): 619-631. PMID: 22646152.
  152. X Xiao, P Wang, KC Chou. Quat-2L: a web-server for predicting protein quaternary structural attributes. Molecular Diversity. 2011; 15(1): 149-155. PMID: 20148364.
  153. ZZ Wen, YH Wang, B Yang, MQ Xie, KC Chou. Roles of L5-7 Loop in the Structure and Chaperone Function of SsHSP14.1. Protein Pept Lett. 2011; 18(3): 275-281. PMID: 20858200.
  154. KC Chou. Some remarks on protein attribute prediction and pseudo amino acid composition. J. Theor. Biol. 2011; 273(1): 236-247. PMID: 21168420.
  155. Xiao X, Chou KC. Using pseudo amino acid composition to predict protein attributes via cellular automata and other approaches. Current Bioinformatics. 2011 Jun 1;6(2):251-60.
  156. Chou KC, Lin WZ, Xiao X. Wenxiang: a web-server for drawing wenxiang diagrams. Natural Science. 2011 Oct 13; 3(10): 862-5.
  157. Y Ma, SQ Wang, WR Xu, RL Wang, KC Chou. Design novel dual agonists for treating type-2 diabetes by targeting peroxisome proliferator-activated receptors with core hopping approach. PLoS One. 2012; 7(6): e38546. PMID: 22685582.
  158. KC Chou, ZC Wu, X Xiao. iLoc-Hum: Using accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites. Molecular Biosystems. 2012; 8(2): 629-641. PMID: 22134333.
  159. X Xiao, P Wang, KC Chou. iNR-PhysChem: A Sequence-Based Predictor for Identifying Nuclear Receptors and Their Subfamilies via Physical-Chemical Property Matrix. PLoS ONE. 2012; 7(2): e30869. PMID: 22363503.
  160. JF Wang, KC Chou. Insights into the Mutation-Induced HHH Syndrome from Modeling Human Mitochondrial Ornithine Transporter-1. PLoS One. 2012; 7(1): e31048. PMID: 22292090.
  161. W Chen, H Lin, PM Feng, C Ding, YC Zuo, KC Chou. iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties. PLoS ONE. 2012; 7(10): e47843. PMID: 23144709.
  162. Xiao X, Lin WZ, Chou KC. Recent advances in predicting G-protein coupled receptor classification. Current Bioinformatics. 2012 Jun 1; 7(2): 132- 42.
  163. B Liu, D Zhang, R Xu, J Xu, X Wang, Q Chen, et al. Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection. Bioinformatics. 2014; 30(4): 472-479. PMID: 24318998.
  164. H Ding, EZ Deng, LF Yuan, L Liu, H Lin, W Chen, et al. iCTX-Type: A sequence-based predictor for identifying the types of conotoxins in targeting ion channels. BioMed Research International. 2014; 2014: 286419. PMID: 24991545.
  165. B Liu, J Xu, X Lan, R Xu, J Zhou, X Wang, et al. iDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition. PLoS ONE. 2014; 3(9): e106691. PMID: 25184541.
  166. . Y Xu, X Wen, XJ Shao, NY Deng, KC Chou. iHyd-PseAAC: Predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition. Int. J. Mol. Sci. 2014; 15(5): 7594-7610. PMID: 24857907.
  167. Y Xu, X Wen, LS Wen, LY Wu, NY Deng, KC Chou. iNitro-Tyr: Prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition. PLoS ONE. 2014; 9(8): e105018. PMID: 25121969.
  168. YN Fan, X Xiao, JL Min, KC Chou. iNR-Drug: Predicting the interaction of drugs with nuclear receptors in cellular networking. Intenational Journal of Molecular Sciences. 2014; 15(3): 4915-4937. PMID: 24651462.
  169. SH Guo, EZ Deng, LQ Xu, H Ding, H Lin, W Chen, et al. iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition. Bioinformatics. 2014; 30(11): 1522-1529. PMID: 24504871.
  170. H Lin, EZ Deng, H Ding, W Chen, KC Chou. iPro54-PseKNC: a sequence- based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition. Nucleic Acids Res. 2014; 42(21): 12961-12972. PMID: 25361964.
  171. WR Qiu, X Xiao, KC Chou. iRSpot-TNCPseAAC: Identify recombination spots with trinucleotide composition and pseudo amino acid components. Int J Mol Sci. 2014; 15(2): 1746-1766. PMID: 24469313.
  172. W Chen, PM Feng, H Lin, KC Chou. iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition. Biomed Research International. 2014; 2014: 623149. PMID: 24967386.
  173. Chen W, Feng PM, Deng EZ, Lin H, Chou KC. iTIS-PseTNC: a sequencebased predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition. Analytical biochemistry. 2014 Oct 1; 462: 76-83.
  174. W Chen, TY Lei, DC Jin, H Lin, KC Chou. PseKNC: a flexible web-server for generating pseudo K-tuple nucleotide composition. Anal. Biochem. 2014; 456: 53-60. PMID: 24732113.
  175. J Liu, J Song, MY Wang, L He, L Cai, KC Chou. Association of EGF rs4444903 and XPD rs13181 polymorphisms with cutaneous melanoma in Caucasians. Medicinal Chemistry. 2015; 11(6): 551-559. PMID: 25537294.
  176. R Xu, J Zhou, B Liu, YA He, Q Zou, X Wang, et al. Identification of DNAbinding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach. Journal of Biomolecular Structure & Dynamics. 2015; 33(8): 1720-1730. PMID: 25252709.
  177. B Liu, L Fang, F Liu, X Wang, J Chen, KC Chou. Identification of real microRNA precursors with a pseudo structure status composition approach. PLoS ONE. 2015; 10(3): e0121501. PMID: 25821974.
  178. Z Liu, X Xiao, WR Qiu, KC Chou. iDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition. Anal. Biochem. 2015; 474: 69-77. PMID: 25596338.
  179. X Xiao, JL Min, WZ Lin, Z Liu, X Cheng, KC Chou. iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via the benchmark dataset optimization approach. J Biomol Struct Dyn. 2015; 33(10): 2221-2233. PMID: 25513722.
  180. KC Chou. Impacts of bioinformatics to medicinal chemistry. Medicinal Chemistry. 2015; 11(3): 218-234. PMID: 25548930.
  181. J Jia, Z Liu, X Xiao, KC Chou. iPPI-Esml: an ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC. J. Theor. Biol. 2015; 377: 47-56. PMID: 25908206.
  182. B Liu, F Liu, L Fang, X Wang, KC Chou. repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects. Bioinformatics. 2015; 31(8): 1307-1309. PMID: 25504848.
  183. Chou KC. An unprecedented revolution in medicinal science. InProceedings of the MOL2NET. International Conference on Multidisciplinary Sciences. 2015 Dec 4; 1: 1-10.
  184. L Liu, Y Ma, RL Wang, WR Xu, SQ Wang, KC Chou. Find novel dual-agonist drugs for treating type 2 diabetes by means of cheminformatics. Drug Design, Development and Therapy. 2013; 7: 279-288. PMID: 23630413.
  185. X Xiao, P Wang, WZ Lin, JH Jia, KC Chou. iAMP-2L: A two-level multilabel classifier for identifying antimicrobial peptides and their functional types. Anal. Biochem. 2013; 436(2): 168-177. PMID: 23395824.
  186. JL Min, X Xiao, KC Chou. iEzy-Drug: A web server for identifying the interaction between enzymes and drugs in cellular networking. BioMed Research International. 2013; 2013: 701317. PMID: 24371828.
  187. . X Xiao, JL Min, P Wang, KC Chou. iGPCR-Drug: A web server for predicting interaction between GPCRs and drugs in cellular networking. PLoS ONE. 2013; 8(8): e72234. PMID: 24015221.
  188. PM Feng, W Chen, H Lin, KC Chou. iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition. Anal. Biochem. 2013; 442(1): 118-125. PMID: 23756733.
  189. WZ Lin, JA Fang, X Xiao, KC Chou. iLoc-Animal: A multi-label learning classifier for predicting subcellular localization of animal proteins. Molecular BioSystems. 2013; 9(4): 634-644.
  190. W Chen, PM Feng, H Lin, KC Chou. iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition. Nucleic Acids Research. 2013; 41(6): e68. PMID: 23303794.
  191. Y Xu, XJ Shao, LY Wu, NY Deng, KC Chou. iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins. Peer J, 2013; 1: e171. PMID: 24109555.
  192. Y Xu, J Ding, LY Wu, KC Chou. iSNO-PseAAC: Predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition. PLoS ONE. 2013; 8(2): e55844. PMID: 23409062.
  193. Ji Y, Li YX, Cai YD, Chou KC. Metagenome Assembly Validation: Which Metagenome Contigs are Bona Fide?. Current Bioinformatics. 2013 Sep 1; 8(4): 511-23.
  194. JF Wang, KC Chou. Metallo-beta-Lactamases: Structural Features, Antibiotic Recognition, Inhibition, and Inhibitor Design. Current Topics in Medicinal Chemistry. 2013; 13(10): 1242-1253. PMID: 23647546.
  195. X Xiao, JL Min, P Wang, KC Chou. Predict drug-protein interaction in cellular networking. Current Topics in Medicinal Chemistry. 2013; 13(14): 1707-1712. PMID: 23889048.
  196. X Xiao, WZ Lin, KC Chou. Recent advances in predicting protein classification and their applications to drug development. Current Topics in Medicinal Chemistry. 2013; 13(14): 1622-1635. PMID: 23889055.
  197. X Xiao, P Wang, KC Chou. Recent progresses in identifying nuclear receptors and their families. Current Topics in Medicinal Chemistry. 2013; 13(10): 1192-1200. PMID: 23647541.
  198. KC Chou. Some remarks on predicting multi-label attributes in molecular biosystems. Molecular Biosystems. 2013; 9(6): 1092-1100. PMID: 23536215.
  199. Y Zhu, QW Cong, Y Liu, CL Wan, T Yu, G He, et al. Antithrombin is an importantly inhibitory role against blood clots. Curr Top Med Chem. 2016; 16(6): 666-674. PMID: 26411319.
  200. J Chen, RLong, XL Wang, B Liu, KC Chou. dRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation. Scientific Reports. 2016; 6: 32333.
  201. W Chen, H Ding, P Feng, H Lin, KC Chou. iACP: a sequence-based tool for identifying anticancer peptides. Oncotarget. 2016; 7(13): 16895-16909. PMID: 26942877.
  202. J Jia, Z Liu, X Xiao, B Liu, KC Chou. iCar-PseCp: identify carbonylation sites in proteins by Monto Carlo sampling and incorporating sequence coupled effects into general PseAAC. Oncotarget. 2016; 7(23): 34558-34570. PMID: 27153555.
  203. J Jia, Z Liu, X Xiao, B Liu, KC Chou. Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition. J Biomol Struct Dyn. 2016; 34(9): 1946-1961. PMID: 26375780.
  204. B Liu, R Long, KC Chou. iDHS-EL: Identifying DNase I hypersensitivesites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework. Bioinformatics. 2016; 32(16): 2411- 2418. PMID: 27153623.
  205. B Liu, L Fang, R Long, X Lan, KC Chou. iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition. Bioinformatics. 2016; 32(3): 362-369. PMID: 26476782.
  206. WR Qiu, BQ Sun, X Xiao, ZC Xu, KC Chou. iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC. Oncotarget. 2016; 7(28): 44310-44321. PMID: 27322424.
  207. Cai L, Yuan W, Zhang Z, He L, Chou KC. In-depth comparison of somatic point mutation callers based on different tumor next-generation sequencing depth data. Scientific reports. 2016 Nov 22; 6: 36540.
  208. CJ Zhang, H Tang, WC Li, H Lin, W Chen, KC Chou. iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition. Oncotarget. 2016; 7(43): 69783-69793. PMID: 27626500.
  209. WR Qiu, X Xiao, ZC Xu, KC Chou. iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier. Oncotarget. 2016; 7(32): 51270-51283. PMID: 27323404.
  210. J Jia, Z Liu, X Xiao, B Liu, KC Chou. iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets. Molecules. 2016; 21(1): E95. Pubmed PMID: 26797600.
  211. WR Qiu, BQ Sun, X Xiao, ZC Xu, KC Chou. iPTM-mLys: identifying multiple lysine PTM sites and their different types. Bioinformatics. 2016; 32(20): 3116-3123. PMID: 27334473.
  212. W Chen, H Tang, J Ye, H Lin, KC Chou. iRNA-PseU: Identifying RNA pseudouridine sites. Molecular Therapy - Nucleic Acids. 2016; 5(7): e332. PMID: 28427142.
  213. X Xiao, HX Ye, Z Liu, JH Jia, KC Chou. iROS-gPseKNC: predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition. Oncotarget. 2016; 7(23): 34180-34189. PMID: 27147572.
  214. J Jia, Z Liu, X Xiao, B Liu, KC Chou. iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset. Anal. Biochem. 2016; 497: 48-56. PMID: 26723495.
  215. L Cai, YH Yang, L He, KC Chou. Modulation of cytokine network in the comorbidity of schizophrenia and tuberculosis. Curr Top Med Chem. 2016; 16(6): 655-665. PMID: 26286214.
  216. A Vaseghi, M Faridounnia, S Shokrollahzade, S Jahandideh, KC Chou. Prediction of protein quaternary structures in Pattern Recognition, in "Computational Molecular Biology: Techniques and Approaches, John Wiley & Sons, New Jersey. 2016.
  217. Z Liu, X Xiao, DJ Yu, J Jia, WR Qiu, KC Chou. pRNAm-PC: Predicting N-methyladenosine sites in RNA sequences via physical-chemical properties. Anal. Biochem. 2016; 497: 60-67.
  218. J Jia, Z Liu, X Xiao, B Liu, KC Chou. pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach. J. Theor. Biol. 2016; 394: 223-230. PMID: 26807806.
  219. J Jia, L Zhang, Z Liu, X Xiao, KC Chou. pSumo-CD: Predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC. Bioinformatics. 2016; 32(20): 3133-3141. PMID: 27354696.
  220. Y Xu, KC Chou. Recent progress in predicting posttranslational modification sites in proteins. Curr Top Med Chem. 2016; 16(6): 591-603. PMID: 26286211.
  221. B Liu, F Liu, L Fang, X Wang, KC Chou. repRNA: a web server for generating various feature vectors of RNA sequences. Molecular Genetics and Genomics. 2016; 291(1): 473-481. PMID: 26085220.
  222. W Chen, P Feng, H Ding, H Lin, KC Chou. Using deformation energy to analyze nucleosome positioning in genomes. Genomics. 2016; 107(2-3): 69-75. PMID: 26724497.
  223. QS Du, SQ Wang, NZ Xie, QY Wang, RB Huang, KC Chou. 2L-PCA: A two-level principal component analyzer for quantitative drug design and its applications. Oncotarget. 2017; 8(41): 70564-70578. PMID: 29050302.
  224. B Liu, F Yang, KC Chou. 2L-piRNA: A two-layer ensemble classifier for identifying piwi-interacting RNAs and their function. Molecular Therapy Nucleic Acids. 2017; 7: 267-277. PMID: 28624202.
  225. . ZD Zhang, K Liang, K Li, GQ Wang, KW Zhang, L Cai, et al. Chlorella vulgaris induces apoptosis of human non-small cell lung carcinoma (NSCLC) cells. Med Chem. 2017; 13(6): 560-568. PMID: 28494726.
  226. X Cheng, SG Zhao, X Xiao, KC Chou. iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals. Oncotarget. 2017; 8(35): 58494-58503. PMID: 28938573.
  227. X Cheng, SG Zhao, X Xiao, KC Chou. iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals. Bioinformatics. 2017; 33(16): 2610. PMID: 28810696.
  228. LM Liu, Y Xu, KC Chou. iPGK-PseAAC: identify lysine phosphoglycerylation sites in proteins by incorporating four different tiers of amino acid pairwise coupling information into the general PseAAC. Med Chem. 2017; 13(6): 552-559. PMID: 28521678.
  229. WR Qiu, BQ Sun, X Xiao, D Xu, KC Chou. iPhos-PseEvo: Identifying human phosphorylated proteins by incorporating evolutionary information into general PseAAC via grey system theory. Molecular Informatics. 2017; 36. PMID: 28488814.
  230. Y Xu, C Li, KC Chou. iPreny-PseAAC: identify C-terminal cysteine prenylation sites in proteins by incorporating two tiers of sequence couplings into PseAAC. Med Chem. 2017; 13(6): 544-551. PMID: 28425870.
  231. WR Qiu, SY Jiang, BQ Sun, X Xiao, X Cheng, KC Chou. iRNA-2methyl: identify RNA 2′-O-methylation sites by incorporating sequence-coupled effects into general PseKNC and ensemble classifier. Medicinal Chemistry. 2017; 13(8): 734-743. PMID: 28641529.
  232. W Chen, P Feng, H Yang, H Ding, H Lin, KC Chou. iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences. Oncotarget. 2017; 8(3): 4208-4217. PMID: 27926534.
  233. Feng P, Ding H, Yang H, Chen W, Lin H, Chou KC. iRNA-PseColl: identifying the occurrence sites of different RNA modifications by incorporating collective effects of nucleotides into PseKNC. Molecular Therapy-Nucleic Acids. 2017 Jun 16; 7: 155-63.
  234. WR Qiu, SY Jiang, ZC Xu, X Xiao, KC Chou. iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition. Oncotarget. 2017; 8(25): 41178-41188. PMID: 28476023.
  235. B Liu, S Wang, R Long, KC Chou. iRSpot-EL: identify recombination spots with an ensemble learning approach. Bioinformatics. 2017; 33(1): 35- 41. PMID: 27531102.
  236. X Cheng, SG Zhao, WZ Lin, X Xiao, KC Chou. pLoc-mAnimal: predict subcellular localization of animal proteins with both single and multiple sites. Bioinformatics. 2017; 33(22): 3524-3531. PMID: 29036535.
  237. Xiao X, Cheng X, Su S, Mao Q, Chou KC. pLoc-mGpos: incorporate key gene ontology information into general PseAAC for predicting subcellular localization of Gram-positive bacterial proteins. Natural Science. 2017 Sep 22; 9(09): 330.
  238. Cheng X, Xiao X, Chou KC. pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC. Molecular BioSystems. 2017;13(9):1722-7.
  239. X Cheng, X Xiao, KC Chou. pLoc-mVirus: predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC. Gene. 2017; 628: 315-321. PMID: 28728979.
  240. J Wang, B Yang, J Revote, A Leier, TT Marquez-Lago, G Webb, et al. POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles. Bioinformatics. 2017; 33(17): 2756- 2758. PMID: 28903538.
  241. Q Su, W Lu, D Du, F Chen, B Niu, KC Chou. Prediction of the aquatic toxicity of aromatic compounds to tetrahymena pyriformis through support vector regression. Oncotarget. 2017; 8(30): 49359-49369. PMID: 28467816.
  242. B Liu, H Wu, D Zhang, X Wang, KC Chou. Pse-Analysis: a python package for DNA/RNA and protein/peptide sequence analysis based on pseudo components and kernel methods. Oncotarget. 2017; 8(8): 13338-13343. PMID: 28076851.
  243. Liu B, Wu H, Chou KC. Pse-in-One 2.0: an improved package of web servers for generating various modes of pseudo components of DNA, RNA, and protein sequences. Natural Science. 2017 Apr 28; 9(04): 67.
  244. B Niu, M Zhang, P Du, L Jiang, R Qin, Q Su, et al. Small molecular floribundiquinone B derived from medicinal plants inhibits acetylcholinesterase activity. Oncotarget. 2017; 8(34): 57149-57162. PMID: 28915661.
  245. KC Chou. An unprecedented revolution in medicinal chemistry driven by the progress of biological science. Current Topics in Medicinal Chemistry. 2017; 17(21): 2337-2358. PMID: 28413951.
  246. J Wang, J Li, B Yang, R Xie, TT Marquez-Lago, A Leier, et al. Bastion3: a two-layer approach for identifying type III secreted effectors using ensemble learning. Bioinformatics. 2018; 35(12): 2017-2028. PMID: 30388198.
  247. J Wang, B Yang, A Leier, TT Marquez-Lago, M Hayashida, A Rocker, et al. Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors. Bioinformatics. 2018; 34(15): 2546-2555. PMID: 29547915.
  248. Y Zhang, R Xie, J Wang, A Leier, TT Marquez-Lago, T Akutsu, et al. Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework. Brief in Bioinform. 2019; 20(6): 2185-2199.
  249. B Liu, K Li, DS Huang, KC Chou. iEnhancer-EL: Identifying enhancers and their strength with ensemble learning approach. Bioinformatics. 2018; 34(22): 3835-3842. PMID: 29878118.
  250. Z Chen, PY Zhao, F Li, Leier A, TT Marquez-Lago, Y Wang, et al. iFeature: a python package and web server for features extraction and selection from protein and peptide sequences. Bioinformatics. 2018; 34(14): 2499-2502. PMID: 29528364.
  251. WR Qiu, BQ Sun, X Xiao, ZC Xu, JH Jia, KC Chou. iKcr-PseEns: Identify lysine crotonylation sites in histone proteins with pseudo components and ensemble classifier. Genomics. 2018; 110(5): 239-246. PMID: 29107015.
  252. ZD Su, Y Huang, ZY Zhang, YW Zhao, D Wang, W Chen, et al. iLoclncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC. Bioinformatics. 2018; 34(24): 4196-4204. PMID: 29931187.
  253. L Cai, T Huang, J Su, X Zhang, W Chen, F Zhang, et al. Implications of newly identified brain eQTL genes and their interactors in Schizophrenia. Molecular Therapy Nucleic Acids. 2018; 12: 433-442. PMID: 30195780.
  254. YD Khan, N Rasool, W Hussain, SA Khan, KC Chou. iPhosT-PseAAC: Identify phosphothreonine sites by incorporating sequence statistical moments into PseAAC. Anal. Biochem. 2018; 550: 109-116. PMID: 29704476.
  255. YD Khan, N Rasool, W Hussain, SA Khan, KC Chou. iPhosY-PseAAC: identify phosphotyrosine sites by incorporating sequence statistical moments into PseAAC. Molecular biology reports. 2018; 45(6): 2501-2509. PMID: 30311130.
  256. B Liu, F Yang, DS Huang, KC Chou. iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC. Bioinformatics. 2018; 34(1): 33-40. PMID: 28968797.
  257. Song, Y Wang, F Li, T Akutsu, ND Rawlings, GI Webb, et al. iProt-Sub: a comprehensive package for accurately mapping and predicting proteasespecific substrates and cleavage sites. Brief in Bioinform. 2019; 20(2): 638- 658. Pubmed PMID: 29897410.
  258. . W Chen, P Feng, H Yang, H Ding, H Lin, KC Chou. iRNA-3typeA: identifying 3-types of modification at RNA’s adenosine sites. Molecular Therapy: Nucleic Acid. 2018; 11: 468-474. PMID: 29858081.
  259. W Chen, H Ding, X Zhou, H Lin, KC Chou. iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition. Anal. Biochem. 2018; 561-562: 59-65. PMID: 30201554.
  260. B Liu, F Weng, DS Huang, KC Chou. iRO-3wPseKNC: Identify DNA replication origins by three-window-based PseKNC. Bioinformatics. 2018; 34(18): 3086-3093. PMID: 29684124.
  261. Yang H, Qiu WR, Liu G, Guo FB, Chen W, Chou KC, et al. iRSpot- Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC. International journal of biological sciences. 2018; 14(8): 883.
  262. Z Chen, X Liu, F Li, C Li, T Marquez-Lago, A Leier, et al. Large-scale comparative assessment of computational predictors for lysine post-translational modification sites. Brief in Bioinform. 2019 Nov 27; 20(6): 2267-2290. PMID: 30285084.
  263. Ehsan A, Mahmood K, Khan YD, Khan SA, Chou KC. A novel modeling in mathematical biology for classification of signal peptides. Scientific reports. 2018 Jan 18; 8(1): 1-6.
  264. X Cheng, X Xiao, KC Chou. pLoc_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC. Journal of Theoretical Biology. 2018; 458: 92-102. PMID: 30201434.
  265. X Cheng, X Xiao, KC Chou. pLoc_bal-mPlant: predict subcellular localization of plant proteins by general PseAAC and balancing training dataset. Curr Pharm Des. 2018; 24(34): 4013-4022. PMID: 30451108.
  266. X Cheng, X Xiao, KC Chou. pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC. Genomics. 2018; 110: 50-58. PMID: 28818512.
  267. X Cheng, X Xiao, KC Chou. pLoc-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by deep gene ontology learning via general PseAAC. Genomics. 2017; S0888-7543(17)30102-7. PMID: 28989035.
  268. Cheng X, Xiao X, Chou KC. pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information. Bioinformatics. 2018 May 1; 34(9): 1448-56.
  269. J Song, F Li, K Takemoto, G Haffari, T Akutsu, KC Chou. Et al. PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural and network features in a machine learning framework. Journal of Theoretical Biology. 2018; 443: 125-137. PMID: 29408627.
  270. J Song, F Li, A Leier, TT Marquez-Lago, T Akutsu, G Haffari, et al. PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy. Bioinformatics. 2018; 34(4): 684-687. PMID: 29069280.
  271. F Li, C Li, TT Marquez-Lago, A Leier, T Akutsu, AW Purcell, et al. Quokka: a comprehensive tool for rapid and accurate prediction of kinase family- specific phosphorylation sites in the human proteome. Bioinformatics. 2018; 34(24): 4223-4231. PMID: 29947803.
  272. F Li, Y Wang, C Li, TT Marquez-Lago, A Leier, ND Rawlings, et al. Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods. Brief in Bioinform. 2019; 20(6): 2150-2166.
  273. . Khan YD, Jamil M, Hussain W, Rasool N, Khan SA, Chou KC. pSSbond- PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments. Journal of theoretical biology. 2019 Feb 21; 463: 47-55.
  274. Chou CK. Recent progresses in predicting protein subcellular localization with artificial intelligence (AI) tools developed via the 5‐steps rule. Jacobs J Gastroenterol Hepatol. 2019; 2:1-21.
  275. Chou CK. Recent progresses in predicting protein subcellular localization with artificial intelligence (AI) tools developed via the 5‐steps rule. Jacobs J Gastroenterol Hepatol. 2019; 2: 1-21.
  276. Chou KC. Showcase to illustrate how the web-server iDNA6mA-PseKNC is working. Journal of Pathology Research Reviews & Reports. 2019; 1: 1-5.
  277. Chou KC. Showcase to illustrate how the web-server iNitro-Tyr is working. Glo J of Com Sci and Infor Tec. 2019; 2: 1-6.
  278. Chou KC. Showcase to illustrate how the web-server iNitro-Tyr is working. Glo J of Com Sci and Infor Tec. 2019; 2: 1-6.
  279. Chou KC. Showcase to Illustrate how the webserver pLoc_bal-mEuk Is working. Biomedical Journal of Scientific & Technical Research. 2020; 24(2): 18156-60.
  280. W Hussain, SD Khan, N Rasool, SA Khan, KC Chou. SPalmitoylCPseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-palmitoylation sites in proteins. Anal. Biochem. 2019; 568: 14-23. PMID: 30593778.
  281. W Hussain, YD Khan, N Rasool, SA Khan, KC Chou. SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins. J. Theor. Biol. 2019; 468: 1-11. PMID: 30768975.
  282. KC Chou. Two kinds of metrics for computational biology. Genomics. 2019; S0888-7543(19)30460-4. PMID: 31476433.
  283. S Khan, M Khan, N Iqbal, T Hussain, SA Khan, KC Chou. A Two-Level Computation Model Based on Deep Learning Algorithm for Identification of piRNA and Their Functions via Chou's 5-Steps Rule. Human Genetics. 2019; 8: 1-5.
  284. Chou KC. Coronavirus and Gordon Life Science Institute. Natural Science. 2020 Jul 9; 12(7): 429-40.
  285. Chou KC. The Development of Gordon Life Science Institute: Its Driving Force and Accomplishments. Natural Science. 2020 Mar 31; 12(4): 202-17.
  286. Chou KC. Distorted key theory and its implication for drug development. Current Proteomics. 2020 Aug 1; 17(4): 311-23.
  287. Chou KC. The End of Our Earth Is Certainly to Come:“When”? and “Why”?. Natural Science. 2020 Aug 4; 12(8): 553-68.
  288. B Niu, C Liang, Y Lu, M Zhao, Q Chen, Y Zhang, et al. Glioma stages prediction based on machine learning algorithm combined with proteinprotein ineraction networks. Genomics. 2020; 112(1): 837-847. PMID: 31150762.
  289. Chou KC. Gordon Life Science Institute and Its Impacts on Computational Biology and Drug Development. Natural Science. 2020 Mar 18; 12(03): 125.
  290. KC Chou. How the Artificial Intelligence Tool iHyd-PseAAC is Working in Predicting the Hydroxyproline and Hydroxylysine in Proteins. Peer Re J Foren & Gen Sci. 2020; 1: 1004.
  291. Chou KC. How the artificial intelligence tool iHyd-PseAAC is working in predicting the hydroxyproline and hydroxylysine in proteins. ES J Microbiol. 2020; 1(1): 1004.
  292. . Chou KC. How the artificial intelligence tool iHyd-PseAAC is working in predicting the hydroxyproline and hydroxylysine in proteins. ES J Microbiol. 2020; 1(1): 1004.
  293. Chou KC. How the artificial intelligence tool iPGK-PseAAC is working in predicting lysine phosphoglycerylation sites in proteins. International Journal. 2020; 1(1): 6-7.
  294. Chou KC. How the artificial intelligence tool iRNA-2methyl is working for RNA 2’-Omethylation sites. Journal of Medical Care Research and Review. 2020; 3: 348-66.
  295. Chou KC. How the Artificial Intelligence Tool iRNA-PseU is Working in Predicting the RNA Pseudouridine Sites?. Biomedical Journal of Scientific & Technical Research. 2020; 24(2): 18055-64.
  296. KC Chou. How the artificial intelligence tool iSuc-PseOpt is working for predicting lysine succinylation sites in proteins. Biomedical Research and Clinical Reviews. 2020; 1-2.
  297. Chou KC. How the artificial intelligence tool pSumo-CD is working for predicting sumoylation sites in pro-teins. Journal of Biotechnology & Bioinformatics Research. SRC/JBBR/102 J Biotechnol Bioinforma Res. 2020: 3.
  298. Lu Z, Chou KC. iATC_Deep-mISF: A Multi-Label Classifier for Predicting the Classes of Anatomical Therapeutic Chemicals by Deep Learning. Advances in Bioscience and Biotechnology. 2020 May 9;11(5):153-9.
  299. Chou KC. The Implication of “I Am the Alpha and the Omega” to Internet Institutes. Natural Science. 2020 Jul 9; 12(7): 482-94.
  300. Chou KC. An insightful 20-year recollection since the birth of pseudo amino acid components. Amino Acids. 2020 Feb 18:1-3.
  301. . KCChou. An Insightful Recollection for Predicting Protein Subcellular Locations in Multi-Label Systems.Natural Science. 12(2020): 441-469.
  302. Khan YD, Amin N, Hussain W, Rasool N, Khan SA, Chou KC. iProtease- PseAAC (2L): A two-layer predictor for identifying proteases and their types using Chou's 5-step-rule and general PseAAC. Analytical biochemistry. 2020 Jan 1;588:113477.
  303. Chou KC. The Most Important Ethical Concerns in Science. Natural Science. 2020 Feb 24;12(2):35-6.
  304. Pugalenthi G, Nithya V, Chou KC, Archunan G. Nglyc: A random forest method for prediction of N-Glycosylation sites in eukaryotic protein sequence. Protein and Peptide Letters. 2020 Mar 1;27(3):178-86.
  305. Chou KC. Noah’s Ark and Internet Institutes: When and Why?. Natural Science. 2020 Jul 15;12(07):470.
  306. Chou KC. Other Mountain Stones Can Attack Jade: The 5-Steps Rule. Natural Science. 2020 Feb 27;12(3):59-64.
  307. Chou KC. The Pandemic Pestilences and Internet Institutes. Natural Science. 2020 Jul 9;12(7):495-515.
  308. Chou KC. The pLoc_bal-mGneg predictor is a powerful web-server for identifying the subcellular localization of gram-negative bacterial proteins based on their sequences information alone. International Journal of Sciences. 2020;9(01):27-34.
  309. Chou KC. The pLoc_bal-mGpos is a powerful artificial intelligence tool for predicting the subcellular localization of Gram-positive bacterial proteins according to their sequence information alone. Glo J of Com Sci and Infor Tec. 2020;2:1-3.
  310. Chou KC. The pLoc_bal-mHum Is a Powerful Web-Serve for Predicting the Subcellular Localization of Human Proteins Purely Based on Their Sequence Information. Adv Bioeng Biomed Sci Res. 2020;3:1-5.
  311. KC Chou.The pLoc_bal-mVirus is a powerful artificial intelligence tool for predicting the subcellular localization of virus proteins according to their sequence information alone. J Gent & Genome. 4(2020).
  312. Shao YT, Chou KC. pLoc_Deep-mAnimal: A Novel Deep CNN-BLSTM Network to Predict Subcellular Localization of Animal Proteins. Natural Science. 2020 Apr 28;12(5):281-91.
  313. Shao Y, Chou KC. pLoc_Deep-mEuk: Predict Subcellular Localization of Eukaryotic Proteins by Deep Learning. Natural Science. 2020 Jun 30;12(06):400.
  314. Liu XX, Chou KC. pLoc_Deep-mGneg: Predict Subcellular Localization of Gram Negative Bacterial Proteins by Deep Learning. Advances in Bioscience and Biotechnology. 2020 May 9;11(5):141-52.
  315. Shao YT, Liu XX, Lu Z, Chou KC. pLoc_Deep-mHum: Predict Subcellular Localization of Human Proteins by Deep Learning. Natural Science. 2020 Jul 9;12(7):526-51.
  316. Shao YT, Liu XX, Lu Z, Chou KC. pLoc_Deep-mPlant: Predict Subcellular Localization of Plant Proteins by Deep Learning. Natural Science. 2020 Apr 28;12(5):237-47.
  317. Shao Y, Chou KC. pLoc_Deep-mVirus: A CNN Model for Predicting Subcellular Localization of Virus Proteins by Deep Learning. Natural Science. 2020 Jun 4;12(6):388-99.
  318. Khan S, Khan M, Iqbal N, Khan SA, Chou KC. Prediction of piRNAs and their function based on discriminative intelligent model using hybrid features into Chou's PseKNC. Chemometrics and Intelligent Laboratory Systems. 2020 May 21:104056.
  319. Chou KC. The Problem of Elsevier Series Journals Online Submission by Using Artificial Intelligence. Natural Science. 2020 Feb 24;12(2):37-8.
  320. Chou KC. Progresses in predicting post-translational modification. International Journal of Peptide Research and Therapeutics. 2019 Jul 12:1-6.
    321. [
  321. Chou KC. Proposing 5-steps rule is a notable milestone for studying molecular biology. Natural Science. 2020 Mar 10;12(03):74.
  322. KC Chou. Showcase to Illustrate how the web-server iATC_Deep-mISF is working. Global Journal of Science Frontier Research: G Bio-Tech & Genetics. 20(2020): 1-3.
  323. Chou KC. Showcase to illustrate how the web-server iPreny-PseAAC is working. Glo J of Com Sci and Infor Tec. 2020;2:1-5.
  324. KC Chou. Showcase to Illustrate How the Web-server iPTM-mLys is working. Infotext Journal of Infectious Diseases and Therapy [IJID].1(2020): 1-16.
  325. KC Chou. Showcase to illustrate how the web-server iRNA-Methyl is working. J Mol Genet. 2020;3:1-7.
  326. KC Chou.Showcase to illustrate how the web-server iSNO-AAPair is working. J Gent & Genome. 4 (2020).
  327. Chou KC. Showcase to Illustrate How the Web-Server iSulf_Wide-PseAAC Is Working. Natural Science. 2020 Aug 26;12(08):620.
  328. KC Chou. Showcase to illustrate how the web-server pLoc_Deep-mAnimal is working.Am J of Viro and Dis. 2020; 2(1): 01-02.
  329. Chou KC. Showcase to Illustrate How the Web-Server pLoc_Deep-mEuk Is Working. Advances in Bioscience and Biotechnology. 2020 Jul 2;11(7):257- 72.
  330. Chou KC. Showcase to Illustrate How the Web-Server pLoc_Deep-mGneg Is Working. Clin Med Case Rep J.2020;1:1-2.
  331. Z. Lu, KC Chou. Showcase to illustrate how the web-server pLoc_DeepmGpos is working.Journal of Biomedical cience and Engineering (JBiSE) 13(2020): 55-65.
  332. . Chou KC. Showcase to Illustrate How the Web-Server pLoc_DeepmHum Is Working. Advances in Bioscience and Biotechnology. 2020 Jul 2;11(7):273-88.
  333. KC Chou. Showcase to illustrate how the web-server pLoc_Deep-mPlant is working. Integrative Molecular Biology and Biotechnology.1(2020): 001- 002.
  334. Chou KC. Showcase to Illustrate how the webserverpLoc_Deep-mVirus is working. Clinical Research and Trials (Clin Res Trials). 6(2020): 1-2.
  335. Chou KC. Showcase to Illustrate how the webserver pLoc_bal-mEuk Is working. Biomedical Journal of Scientific & Technical Research. 2020;24(2):18156-60.
  336. Shao Y, Chou KC. pLoc_Deep-mEuk: Predict Subcellular Localization of Eukaryotic Proteins by Deep Learning. Natural Science. 2020 Jun 30;12(06):400.
  337. Chou KC. Some illuminating remarks on molecular genetics and genomics as well as drug development. Mol Genet Genomics. 2020 Mar;295(2):261- 274. Pubmed PMID: 31894399.
  338. Zhou GP, Chou KC. Two Latest Hot Researches in Medicinal Chemistry. Current Topics in Medicinal Chemistry. 2020 Jan 1;20(4):264-5.
  339. Lin W, Xiao X, Qiu W, Chou KC. Use Chou’s 5-steps rule to predict remote homology proteins by merging grey incidence analysis and domain similarity analysis. Natural Science. 2020 Mar 25;12(03):181.
  340. Akmal MA, Hussain W, Rasool N, Khan YD, Khan SA, Chou KC. Using Chou's 5-steps rule to predict O-linked serine glycosylation sites by blending position relative features and statistical moment. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2020 Jan 21.
  341. Chou KC. Using Similarity Software to Evaluate Scientific Paper Quality Is a Big Mistake. Natural Science. 2020 Mar 4;12(03):42.

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