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第11章 药物发现中的筛选

Capter 11 Filtering in Drug Discovery.

作者信息

Lipinski Christopher A

机构信息

Pfizer Global Research and Development, Groton, CT 06340, USA.

出版信息

Annu Rep Comput Chem. 2005;1:155-168. doi: 10.1016/S1574-1400(05)01011-X. Epub 2005 Oct 5.

Abstract

This chapter discusses the concept of filtering in drug discovery. Multiple filters may be incorporated into a definition of drug-likeness and this leads to tradeoffs among compound properties in compounds intended for screening. The optimization of compound properties may require some type of multiparameter optimization scheme in library design. Fingerprint algorithms can be used to guide diversity. Filters also need to be employed in the chemistry synthesis planning process so that good quality compounds are made. Differences in property ranges between oral and injectable drugs are summarized in the chapter. Oral drugs are lower in MWT and have fewer H-bond donors, acceptors, and rotatable bonds. A scheme for separating central nervous system (CNS)- from non-CNS-active drugs in the WDI allowed the discovery of simple parameters relating to passive blood brain barrier (BBB) permeability and the prediction of p-glycoprotein (PGP) affinity. The PGP transporter is a major barrier to the entry of compounds to the CNS. Appropriately determined PGP efflux ratios can be used as a measure of compound affinity to PGP.

摘要

本章讨论药物发现中的筛选概念。多个筛选标准可能会纳入类药性质的定义中,这会导致用于筛选的化合物在性质之间进行权衡。在文库设计中,化合物性质的优化可能需要某种类型的多参数优化方案。指纹算法可用于指导多样性。在化学合成规划过程中也需要采用筛选标准,以便制备出高质量的化合物。本章总结了口服和注射用药物在性质范围上的差异。口服药物的分子量较低,氢键供体、受体和可旋转键较少。一种在世界药物索引(WDI)中区分中枢神经系统(CNS)活性药物和非CNS活性药物的方案,使得发现了与被动血脑屏障(BBB)通透性相关的简单参数,并预测了P-糖蛋白(PGP)亲和力。PGP转运蛋白是化合物进入中枢神经系统的主要障碍。适当确定的PGP外排率可作为化合物对PGP亲和力的一种度量。

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