Patlewicz G, Jeliazkova N, Gallegos Saliner A, Worth A P
European Commission, Joint Research Centre, Institute for Health and Consumer Protection, European Chemicals Bureau (ECB), Ispra, Italy.
SAR QSAR Environ Res. 2008 Apr-Jun;19(3-4):397-412. doi: 10.1080/10629360802083848.
Chemical similarity is a widely used concept in toxicology, and is based on the hypothesis that similar compounds should have similar biological activities. This forms the underlying basis for performing read-across, forming chemical groups and developing (Quantitative) Structure-Activity Relationships ((Q)SARs). Chemical similarity is often perceived as structural similarity but in fact there are a number of other approaches that can be used to assess similarity. A systematic similarity analysis usually comprises two main steps. Firstly the chemical structures to be compared need to be characterised in terms of relevant descriptors which encode their physicochemical, topological, geometrical and/or surface properties. A second step involves a quantitative comparison of those descriptors using similarity (or dissimilarity) indices. This work outlines the use of chemical similarity principles in the formation of endpoint specific chemical groupings. Examples are provided to illustrate the development and evaluation of chemical groupings using a new software application called Toxmatch that was recently commissioned by the European Chemicals Bureau (ECB), of the European Commission's Joint Research Centre. Insights from using this software are highlighted with specific focus on the prospective application of chemical groupings under the new chemicals legislation, REACH.
化学相似性是毒理学中广泛应用的概念,它基于相似化合物应具有相似生物活性这一假设。这构成了进行类推、形成化学基团以及建立(定量)构效关系((Q)SARs)的潜在基础。化学相似性通常被视为结构相似性,但实际上有许多其他方法可用于评估相似性。系统的相似性分析通常包括两个主要步骤。首先,需要根据编码其物理化学、拓扑、几何和/或表面性质的相关描述符来表征待比较的化学结构。第二步涉及使用相似性(或不相似性)指数对这些描述符进行定量比较。这项工作概述了化学相似性原理在形成特定终点化学分组中的应用。提供了一些示例,以说明使用一种名为Toxmatch的新软件应用程序来开发和评估化学分组,该软件是欧盟委员会联合研究中心的欧洲化学品管理局(ECB)最近委托开发的。重点突出了使用该软件所获得的见解,特别关注化学分组在新的化学品法规《化学品注册、评估、授权和限制》(REACH)下的前瞻性应用。