<p/><br></br><p><b> Book Synopsis </b></p></br></br>This volume explores techniques that are currently used to understand solid target-specific models in computational toxicology. The chapters are divided into four sections and discuss topics such as molecular descriptors, QSAR and read-across; molecular and data modeling techniques to comply with both scientific and regulatory sides; computational toxicology in drug discovery; and strategies on how to predict various human-health toxicology endpoints. Written in the highly successful <i>Methods in Molecular Biology</i> series format, chapters include introductions to their respective topics, lists of the methods and software tools used, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls. <p/>Comprehensive and cutting-edge, <i>Computational Toxicology: Methods and Protocols</i> is a valuable resource for researchers who are interested in learning more about this expanding field.<br><p/><br></br><p><b> From the Back Cover </b></p></br></br>This volume explores techniques that are currently used to understand solid target-specific models in computational toxicology. The chapters are divided into four sections and discuss topics such as molecular descriptors, QSAR and read-across; molecular and data modeling techniques to comply both with scientific and regulatory sides; computational toxicology in drug discovery; and strategies on how to predict various human-health toxicology endpoints. Written in the highly successful <i>Methods in Molecular Biology</i> series format, chapters include introductions to their respective topics, lists of the methods and software tools used, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls. <p/>Comprehensive and cutting-edge, <i>Computational Toxicology: Methods and Protocols</i> is a valuable resource for researchers who are interested in learning more about this expanding field.<br>
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