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Over the past years, the chem(o)informatics field has further evolved and new application areas have opened up, for example, in the broadly defined area of chemical biology. In Chemoinformatics and Computational Chemical Biology, leading investigators bring together a detailed series of reviews and methods including, among others, systemdirected approaches using small molecules, the design of targetfocused compound libraries, the study of molecular selectivity, and the systematic analysis of targetligand interactions. Furthermore, the book delves into similarity methods, machine learning, probabilistic approaches, fragmentbased methods, as well as topics that go beyond the current chemoinformatics spectrum, such as knowledgebased modeling of G proteincoupled receptor structures and computational design of siRNA libraries. As a volume in the highly successful Methods in Molecular Biology series, this collection provides detailed descriptions and implementation advice that are exceedingly relevant for basic researchers and practitioners in this highly interdisciplinary research and development area. Cuttingedge and unambiguous, Chemoinformatics and Computational Chemical Biology serves as an ideal guide for experts and newcomers alike to this vital and dynamic field of study.
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