期刊论文详细信息
BIOORGANIC & MEDICINAL CHEMISTRY LETTERS 卷:16
From genome to drug lead: Identification of a small-molecule inhibitor of the SARS virus
Article
Dooley, AJ ; Shindo, N ; Taggart, B ; Park, JG ; Pang, YP
关键词: in silico screening;    anti-SARS agents;    antiviral agents;    small-molecule inhibitor leads;    docking;    chemical databases;    drug lead identification;   
DOI  :  10.1016/j.bmcl.2005.11.018
来源: Elsevier
PDF
【 摘 要 】

Virtual screening, a fast, computational approach to identify drug leads [Perola, E.; Xu, K.; Kollmeyer, T. M.; Kaufmann, S. H.; Prendergast, F. G. J. Med. Chem. 2000, 43, 40 1; Miller, M. A. Nat. Rev. Drug Disc. 2002, 1220], is limited by a known challenge in crystallographically determining flexible regions of proteins. This approach has not been able to identify active inhibitors of the severe acute respiratory syndrome-associated coronavirus (SARS-CoV) using solely the crystal structures of a SARS-CoV cysteine proteinase with a flexible loop in the active site [Yang, H. T.; Yang, M. J.; Ding, Y.; Liu, Y. W.; Lou, Z. Y. Proc. Natl. A cad. Sci. U. S. A. 2003, 100, 13190; Jenwitheesuk, E.; Samudrala, R. Bioorg. Med. Chem. Lett. 2003, 13, 3989; Rajnarayanan, R. V.; Dakshanamurthy, S.; Pattabiraman, N. Biochem. Biophys. Res. Commun. 2004, 321, 370; Du, Q.; Wang, S.; Wei, D.; Sirois, S.; Chou, K. Anal. Biochem. 2005, 337, 262; Du, Q.; Wang, S.; Zhu, Y.; Wei, D.; Guo, H. Peptides 2004, 25, 1857; Lee, V.; Wittayanarakul, K.; Remsungenen, T.; Parasuk, V.; Sompornpisut, P. Science (Asia) 2003,29, 181; Toney, J.; Navas-Martin, S.; Weiss, S.; Koeller, A. J. Med. Chem. 2004, 47, 1079; Zhang, X. W.; Yap, Y. L. Bioorg. Med. Chem. 2004, 12, 2517]. This article demonstrates a genome-to-drug-lead approach that uses terascale computing to model flexible regions of proteins, thus permitting the utilization of genetic information to identify drug leads expeditiously. A small-molecule inhibitor of SARS-CoV, exhibiting an effective concentration (EC50) of 23 mu M in cell-based assays, was identified through virtual screening against a computer-predicted model of the cysteine proteinase. Screening against two crystal structures of the same proteinase failed to identify the 23-mu M inhibitor. This study suggests that terascale computing can complement crystallography, broaden the scope of virtual screening, and accelerate the development of therapeutics to treat emerging infectious diseases such as SARS and Bird Flu. (c) 2005 Elsevier Ltd. All rights reserved.

【 授权许可】

Free   

【 预 览 】
附件列表
Files Size Format View
10_1016_j_bmcl_2005_11_018.pdf 229KB PDF download
  文献评价指标  
  下载次数:12次 浏览次数:0次