数量结构-活动关系
亲脂性
位阻效应
生化工程
计算机科学
化学
计算化学
机器学习
工程类
立体化学
出处
期刊:Challenges and advances in computational chemistry and physics
日期:2009-10-30
卷期号:: 103-125
被引量:19
标识
DOI:10.1007/978-1-4020-9783-6_4
摘要
Three-dimensional quantitative structure–activity relationship (3D-QSAR) techniques are the most prominent computational means to support chemistry within drug design projects where no three-dimensional structure of the macromolecular target is available. The primary aim of these techniques is to establish a correlation of biological activities of a series of structurally and biologically characterized compounds with the spatial fingerprints of numerous field properties of each molecule, such as steric demand, lipophilicity, and electrostatic interactions. The number of 3D-QSAR studies has exponentially increased over the last decade, since a variety of methods are commercially available in user-friendly, graphically guided software. In this chapter, we will review recent advances, known limitations, and the application of receptor-based 3D-QSAR
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