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Identification of a New Series of STAT3 Inhibitors by Virtual Screening.通过虚拟筛选鉴定一系列新型STAT3抑制剂
ACS Med Chem Lett. 2010 Jul 13;1(8):371-5. doi: 10.1021/ml1000273. eCollection 2010 Nov 11.
2
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Expert Opin Drug Discov. 2006 Jul;1(2):103-10. doi: 10.1517/17460441.1.2.103.
3
Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.比较分子场分析(CoMFA)。1. 形状对类固醇与载体蛋白结合的影响。
J Am Chem Soc. 1988 Aug 1;110(18):5959-67. doi: 10.1021/ja00226a005.
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Computer tools in the discovery of HIV-1 integrase inhibitors.计算机工具在 HIV-1 整合酶抑制剂发现中的应用。
Future Med Chem. 2010 Jul;2(7):1123-40. doi: 10.4155/fmc.10.193.
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In-silico ADME models: a general assessment of their utility in drug discovery applications.基于计算机的药代动力学、药效学和药物相互作用模型:对其在药物发现应用中的效用的综合评估。
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Discovery of non-glycoside sodium-dependent glucose co-transporter 2 (SGLT2) inhibitors by ligand-based virtual screening.基于配体的虚拟筛选发现非糖基化钠依赖性葡萄糖共转运蛋白 2(SGLT2)抑制剂。
J Med Chem. 2010 Dec 23;53(24):8770-4. doi: 10.1021/jm101080v. Epub 2010 Nov 19.
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Discovery of novel GSK-3β inhibitors with potent in vitro and in vivo activities and excellent brain permeability using combined ligand- and structure-based virtual screening.采用基于配体和结构的虚拟筛选相结合的方法,发现了具有较强体外和体内活性以及优异脑渗透性的新型 GSK-3β 抑制剂。
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J Med Chem. 2010 Nov 11;53(21):7521-31. doi: 10.1021/jm100387d.
9
Quo vadis, virtual screening? A comprehensive survey of prospective applications.虚拟筛选何去何从?前瞻性应用的全面调查。
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Can we trust docking results? Evaluation of seven commonly used programs on PDBbind database.我们能相信对接结果吗?对 PDBbind 数据库上七个常用程序的评估。
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计算药物化学的软件和资源。

Software and resources for computational medicinal chemistry.

机构信息

Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, DHHS, Frederick, MD 21702, USA.

出版信息

Future Med Chem. 2011 Jun;3(8):1057-85. doi: 10.4155/fmc.11.63.

DOI:10.4155/fmc.11.63
PMID:21707404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3413324/
Abstract

Computer-aided drug design plays a vital role in drug discovery and development and has become an indispensable tool in the pharmaceutical industry. Computational medicinal chemists can take advantage of all kinds of software and resources in the computer-aided drug design field for the purposes of discovering and optimizing biologically active compounds. This article reviews software and other resources related to computer-aided drug design approaches, putting particular emphasis on structure-based drug design, ligand-based drug design, chemical databases and chemoinformatics tools.

摘要

计算机辅助药物设计在药物发现和开发中起着至关重要的作用,已成为制药行业不可或缺的工具。计算药物化学家可以利用计算机辅助药物设计领域的各种软件和资源,用于发现和优化具有生物活性的化合物。本文综述了与计算机辅助药物设计方法相关的软件和其他资源,特别强调了基于结构的药物设计、基于配体的药物设计、化学数据库和化学信息学工具。