Literature DB >> 8400033

A formulation for correlating properties of peptides and its application to predicting human immunodeficiency virus protease-cleavable sites in proteins.

J J Chou1.   

Abstract

A mathematical frame has been established to generally formulate the correlating properties of peptides. The formulation can be used to study the specificity of multisite enzymes, particularly in predicting the susceptible sites in proteins by human immunodeficiency virus (HIV) proteases, and hence can serve as a supplementary means in designing HIV protease inhibitors as potential drugs against acquired immunodeficiency syndrome.

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Year:  1993        PMID: 8400033     DOI: 10.1002/bip.360330910

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  8 in total

1.  iNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition.

Authors:  Yan Xu; Xin Wen; Li-Shu Wen; Ling-Yun Wu; Nai-Yang Deng; Kuo-Chen Chou
Journal:  PLoS One       Date:  2014-08-14       Impact factor: 3.240

2.  iACP: a sequence-based tool for identifying anticancer peptides.

Authors:  Wei Chen; Hui Ding; Pengmian Feng; Hao Lin; Kuo-Chen Chou
Journal:  Oncotarget       Date:  2016-03-29

3.  A genetic approach for building different alphabets for peptide and protein classification.

Authors:  Loris Nanni; Alessandra Lumini
Journal:  BMC Bioinformatics       Date:  2008-01-24       Impact factor: 3.169

4.  iMethyl-PseAAC: identification of protein methylation sites via a pseudo amino acid composition approach.

Authors:  Wang-Ren Qiu; Xuan Xiao; Wei-Zhong Lin; Kuo-Chen Chou
Journal:  Biomed Res Int       Date:  2014-05-22       Impact factor: 3.411

5.  iCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channels.

Authors:  Hui Ding; En-Ze Deng; Lu-Feng Yuan; Li Liu; Hao Lin; Wei Chen; Kuo-Chen Chou
Journal:  Biomed Res Int       Date:  2014-06-01       Impact factor: 3.411

6.  Polyprotein cleavage mechanism of SARS CoV Mpro and chemical modification of the octapeptide.

Authors:  Qi-Shi Du; Shu-Qing Wang; Yu Zhu; Dong-Qing Wei; Hong Guo; Suzanne Sirois; Kuo-Chen Chou
Journal:  Peptides       Date:  2004-11       Impact factor: 3.750

7.  Prediction of mutations engineered by randomness in H5N1 hemagglutinins of influenza A virus.

Authors:  G Wu; S Yan
Journal:  Amino Acids       Date:  2007-11-02       Impact factor: 3.520

8.  Prediction of mutations engineered by randomness in H5N1 neuraminidases from influenza A virus.

Authors:  G Wu; S Yan
Journal:  Amino Acids       Date:  2007-08-28       Impact factor: 3.520

  8 in total

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