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Progress in computational approach to drug development against SARS

Identifieur interne : 004421 ( Main/Exploration ); précédent : 004420; suivant : 004422

Progress in computational approach to drug development against SARS

Auteurs : Kuo-Chen Chou [États-Unis, République populaire de Chine] ; Dong-Qing Wei [États-Unis, République populaire de Chine] ; Qi-Shi Du [États-Unis, République populaire de Chine] ; Suzanne Sirois [États-Unis, Canada] ; Wei-Zhu Zhong [États-Unis]

Source :

RBID : Pascal:07-0150682

Descripteurs français

English descriptors

Abstract

Since the outbreak of SARS (severe acute respiratory syndrome) in November 2002 in Southern China's Guangdong Province, considerable progress has been made in the development of drugs for SARS therapy. The present mini review is focused on the area of computer-aided drug discovery, i.e., the advances achieved mainly from the approaches of structural bioinformatics, pharmacophore modeling, molecular docking, peptide-cleavage site prediction, and other computational means. It is highlighted that the compounds C28H34O4N7Cl, C21H36O5N6 and C21H36O5N6 (Wei et al., Amino Acids, 2006, 31: 73-80), as well as KZ7088 (Chou etal. Biochem. Biophys. Res. Commun., 2003, 308: 148-151), a derivative of AG7088, might be the promising candidates for further investigation, and that the octapeptides ATLQAIAS and ATLQAENV, as well as AVLQSGFR, might be converted to effective inhibitors against the SARS enzyme. Meanwhile, how to modify these octapeptides based on the "distorted key" theory to make them become potent inhibitors is explicitly elucidated. Finally, a brief introduction is given for how to use computer-generated graphs to rapidly diagnose SARS coronavirus.


Affiliations:


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Le document en format XML

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