Literature DB >> 8789141

Prediction of human immunodeficiency virus protease cleavage sites in proteins.

K C Chou1.   

Abstract

Knowledge of the polyprotein cleavage sites by HIV protease will refine our understanding of its specificity and the information thus acquired is useful for designing specific and efficient HIV protease inhibitors. The pace in searching for the proper inhibitors of HIV protease will be greatly expedited if one can find an accurate and rapid method for predicting the cleavage sites in proteins by HIV protease. Various prediction models or algorithms have been developed during the past 5 years. This Review is devoted to addressing the following problems: (1) Why is it important to predict the cleavability of a peptide by HIV protease? (2) What progresses have been made in developing the prediction methods, and what merits and weakness does each of these methods carry? The attention is focused on the state-of-the-art, which is featured by a discriminant function algorithm developed very recently as well as an improved database (the program and database are available upon request) established according to new experimental results.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8789141     DOI: 10.1006/abio.1996.0001

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  60 in total

1.  Structure-based prediction of potential binding and nonbinding peptides to HIV-1 protease.

Authors:  Nese Kurt; Turkan Haliloglu; Celia A Schiffer
Journal:  Biophys J       Date:  2003-08       Impact factor: 4.033

2.  Study of drug function based on similarity of pathway fingerprint.

Authors:  Hao Ye; Kailin Tang; Linlin Yang; Zhiwei Cao; Yixue Li
Journal:  Protein Cell       Date:  2012-03-17       Impact factor: 14.870

3.  Rationale for more diverse inhibitors in competition with substrates in HIV-1 protease.

Authors:  Nevra Ozer; Celia A Schiffer; Turkan Haliloglu
Journal:  Biophys J       Date:  2010-09-08       Impact factor: 4.033

Review 4.  HIV protease inhibitors impact on apoptosis.

Authors:  Stacey A Rizza; Andrew D Badley
Journal:  Med Chem       Date:  2008-01       Impact factor: 2.745

5.  In vitro transcriptomic prediction of hepatotoxicity for early drug discovery.

Authors:  Feng Cheng; Dan Theodorescu; Ira G Schulman; Jae K Lee
Journal:  J Theor Biol       Date:  2011-08-27       Impact factor: 2.691

6.  iCataly-PseAAC: Identification of Enzymes Catalytic Sites Using Sequence Evolution Information with Grey Model GM (2,1).

Authors:  Xuan Xiao; Meng-Juan Hui; Zi Liu; Wang-Ren Qiu
Journal:  J Membr Biol       Date:  2015-06-16       Impact factor: 1.843

7.  Identification of structural mechanisms of HIV-1 protease specificity using computational peptide docking: implications for drug resistance.

Authors:  Sidhartha Chaudhury; Jeffrey J Gray
Journal:  Structure       Date:  2009-12-09       Impact factor: 5.006

8.  Mechanism of substrate recognition by drug-resistant human immunodeficiency virus type 1 protease variants revealed by a novel structural intermediate.

Authors:  Moses Prabu-Jeyabalan; Ellen A Nalivaika; Keith Romano; Celia A Schiffer
Journal:  J Virol       Date:  2006-04       Impact factor: 5.103

9.  Predicting drug-target interaction networks based on functional groups and biological features.

Authors:  Zhisong He; Jian Zhang; Xiao-He Shi; Le-Le Hu; Xiangyin Kong; Yu-Dong Cai; Kuo-Chen Chou
Journal:  PLoS One       Date:  2010-03-11       Impact factor: 3.240

10.  Protein domain boundary predictions: a structural biology perspective.

Authors:  Svetlana Kirillova; Suresh Kumar; Oliviero Carugo
Journal:  Open Biochem J       Date:  2009-01-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.