Early phase drug discovery: Cheminformatics and computational techniques in identifying lead series

被引:44
作者
Duffy, Bryan C. [1 ]
Zhu, Lei [1 ]
Decornez, Helene [1 ]
Kitchen, Douglas B. [1 ]
机构
[1] AMRI, Albany, NY 12212 USA
关键词
Hit-to-lead; Cheminformatics; Chemical databases; Lead-like properties; Drug-like properties; High throughput screening analysis; LIGAND EFFICIENCY INDEXES; BRAIN-BARRIER PENETRATION; MOLECULAR-SURFACE AREA; AQUEOUS SOLUBILITY; SCREENING LIBRARIES; TRANSPORT PHENOMENA; ORAL DRUGLIKENESS; ORGANIC-COMPOUNDS; RAPID CALCULATION; COMPOUND;
D O I
10.1016/j.bmc.2012.04.062
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Early drug discovery processes rely on hit finding procedures followed by extensive experimental confirmation in order to select high priority hit series which then undergo further scrutiny in hit-to-lead studies. The experimental cost and the risk associated with poor selection of lead series can be greatly reduced by the use of many different computational and cheminformatic techniques to sort and prioritize compounds. We describe the steps in typical hit identification and hit-to-lead programs and then describe how cheminformatic analysis assists this process. In particular, scaffold analysis, clustering and property calculations assist in the design of high-throughput screening libraries, the early analysis of hits and then organizing compounds into series for their progression from hits to leads. Additionally, these computational tools can be used in virtual screening to design hit-finding libraries and as procedures to help with early SAR exploration. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:5324 / 5342
页数:19
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