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分子相似性:分子信息学中的一项关键技术。

Molecular similarity: a key technique in molecular informatics.

作者信息

Bender Andreas, Glen Robert C

机构信息

Unilever Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.

出版信息

Org Biomol Chem. 2004 Nov 21;2(22):3204-18. doi: 10.1039/B409813G. Epub 2004 Oct 14.

Abstract

Molecular Informatics utilises many ideas and concepts to find relationships between molecules. The concept of similarity, where molecules may be grouped according to their biological effects or physicochemical properties has found extensive use in drug discovery. Some areas of particular interest have been in lead discovery and compound optimisation. For example, in designing libraries of compounds for lead generation, one approach is to design sets of compounds "similar" to known active compounds in the hope that alternative molecular structures are found that maintain the properties required while enhancing e.g. patentability, medicinal chemistry opportunities or even in achieving optimised pharmacokinetic profiles. Thus the practical importance of the concept of molecular similarity has grown dramatically in recent years. The predominant users are pharmaceutical companies, employing similarity methods in a wide range of applications e.g. virtual screening, estimation of absorption, distribution, metabolism, excretion and toxicity (ADME/Tox) and prediction of physicochemical properties (solubility, partitioning etc.). In this perspective, we discuss the representation of molecular structure (descriptors), methods of comparing structures and how these relate to measured properties. This leads to the concept of molecular similarity, its various definitions and uses and how these have evolved in recent years. Here, we wish to evaluate and in some cases challenge accepted views and uses of molecular similarity. Molecular similarity, as a paradigm, contains many implicit and explicit assumptions in particular with respect to the prediction of the binding and efficacy of molecules at biological receptors. The fundamental observation is that molecular similarity has a context which both defines and limits its use. The key issues of solvation effects, heterogeneity of binding sites and the fundamental problem of the form of similarity measure to use are addressed.

摘要

分子信息学运用诸多理念和概念来探寻分子间的关系。相似性概念,即根据分子的生物效应或物理化学性质对分子进行分组,已在药物研发中得到广泛应用。一些特别受关注的领域包括先导化合物发现和化合物优化。例如,在设计用于产生先导化合物的化合物库时,一种方法是设计与已知活性化合物“相似”的化合物集,以期找到能保持所需性质同时提升如专利性、药物化学机会,甚至实现优化药代动力学特征的替代分子结构。因此,分子相似性概念的实际重要性近年来急剧增长。主要用户是制药公司,他们在广泛的应用中采用相似性方法,如虚拟筛选、吸收、分布、代谢、排泄和毒性(ADME/Tox)估计以及物理化学性质(溶解度、分配系数等)预测。从这个角度出发,我们将讨论分子结构的表示(描述符)、比较结构的方法以及这些与实测性质的关系。这引出了分子相似性的概念、其各种定义和用途以及近年来这些是如何演变的。在此,我们希望评估并在某些情况下质疑关于分子相似性的公认观点和用途。分子相似性作为一种范例,尤其在预测分子与生物受体的结合及功效方面包含许多隐含和明确的假设。基本观察结果是,分子相似性有一个既定义又限制其用途的背景。本文将探讨溶剂化效应、结合位点的异质性等关键问题以及使用何种相似性度量形式这一基本问题。

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