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优化从活性筛选到先导化合物发现过程及后续阶段的策略与战术——计算化学视角

Strategies and tactics for optimizing the Hit-to-Lead process and beyond--a computational chemistry perspective.

作者信息

Manly Charles J, Chandrasekhar Jayaraman, Ochterski Joseph W, Hammer Jack D, Warfield Benjamin B

机构信息

Neurogen Corporation, 35 N.E. Industrial Road, Branford, CT 06405, United States.

出版信息

Drug Discov Today. 2008 Feb;13(3-4):99-109. doi: 10.1016/j.drudis.2007.10.019. Epub 2007 Dec 11.

DOI:10.1016/j.drudis.2007.10.019
PMID:18275907
Abstract

The Hit-to-Lead-to-Candidate process continues to evolve rapidly, and while technological advances offer much potential, the reality often pales to the promise. Conversely, strategies and tactics implementing existing technologies may result in more benefit in the end. This article focuses on some of the thinking and approaches that may improve the efficiency and effectiveness of the beginnings of the drug discovery path. From the perspective of computational chemists, different types of strategy and philosophy of approach will be treated including: considerations of early lead choices, strategies for improving poor leads, multivariate optimization, opportunities for informatics, and engineering good decisions.

摘要

从命中到先导再到候选药物的过程仍在迅速发展,虽然技术进步带来了很大潜力,但现实往往与预期相差甚远。相反,实施现有技术的策略和战术最终可能会带来更多益处。本文重点介绍一些可能提高药物发现路径起点效率和有效性的思路和方法。从计算化学家的角度出发,将探讨不同类型的策略和方法理念,包括:早期先导化合物选择的考量、改进不良先导化合物的策略、多变量优化、信息学机会以及做出明智决策。

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Strategies and tactics for optimizing the Hit-to-Lead process and beyond--a computational chemistry perspective.优化从活性筛选到先导化合物发现过程及后续阶段的策略与战术——计算化学视角
Drug Discov Today. 2008 Feb;13(3-4):99-109. doi: 10.1016/j.drudis.2007.10.019. Epub 2007 Dec 11.
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Hit discovery and hit-to-lead approaches.活性分子发现与活性分子到先导化合物的方法。
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