Recent Advances in Development, Validation, and Exploitation of QSAR Models

A. Tropsha
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引用次数: 8

Abstract

Counting more than 45 years of intensive development and applications, QSAR modeling remains one of the major computational approaches for drug discovery and environmental chemical risk assessment. Recent developments in the field reflect the burgeoning growth of bioactivity and chemical databases. This growth provides a never-ending impetus for the development of a growing body of QSAR models and their application for virtual screening to prioritize chemicals for experimental investigations. This chapter reviews recent and emerging trends in the QSAR modeling field with the emphasis on new approaches to chemical and biological data curation, model validation, virtual screening, and potential application of QSAR models by federal agencies for regulatory decision making. Keywords: databases; data curation; modeling workflow; model validation; virtual screening
QSAR模型的发展、验证和利用的最新进展
经过45年的深入发展和应用,QSAR建模仍然是药物发现和环境化学品风险评估的主要计算方法之一。该领域的最新发展反映了生物活性和化学数据库的迅速增长。这种增长为不断增长的QSAR模型的发展及其在虚拟筛选中的应用提供了永无止境的动力,以优先考虑实验研究中的化学物质。本章回顾了QSAR建模领域的最新和新兴趋势,重点是化学和生物数据管理、模型验证、虚拟筛选以及联邦机构在监管决策中对QSAR模型的潜在应用的新方法。关键词:数据库;数据管理;工作流建模;模型验证;虚拟筛选
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