Springer Biophysical and Computational Tools in Drug Discovery: 37 (Topics in Medicinal Chemistry, 37)

Product Description This book reviews recent physicochemical and biophysical techniques applied in drug discovery research, and it outlines the latest advances in computational drug design. Divided into 10 chapters, the book discusses about the role of structural biology in drug discovery, and offers useful application cases of several biophysical and computational methods, including time-resolved fluorometry (TRF) with Förster resonance energy transfer (FRET), X-Ray crystallography, nuclear magnetic resonance spectroscopy, mass spectroscopy, generative machine learning for inverse molecular design, quantum mechanics/molecular mechanics (QM/MM,ONIOM) and quantum molecular dynamics (QMT) methods. Particular attention is given to computational search techniques applied to peptide vaccines using novel mathematical descriptors and structure and ligand-based virtual screening techniques in drug discovery research. Given its scope, the book is a valuable resource for students, researchers and professionals from pharmaceutical industry interested in drug design and discovery. From the Back Cover This book reviews recent physicochemical and biophysical techniques applied in drug discovery research, and it outlines the latest advances in computational drug design. Divided into 10 chapters, the book discusses about the role of structural biology in drug discovery, and offers useful application cases of several biophysical and computational methods, including time-resolved fluorometry (TRF) with Förster resonance energy transfer (FRET), X-Ray crystallography, nuclear magnetic resonance spectroscopy, mass spectroscopy, generative machine learning for inverse molecular design, quantum mechanics/molecular mechanics (QM/MM,ONIOM) and quantum molecular dynamics (QMT) methods. Particular attention is given to computational search techniques applied to peptide vaccines using novel mathematical descriptors and structure and ligand-based virtual screening techniques in drug discovery research. Given its scope, the book is a valuable resource for students, researchers and professionals from pharmaceutical industry interested in drug design and discovery. About the Author Dr. Anil K. Saxena, Emeritus Scientist, Ex-Chief Scientist Central Drug Research Institute, Lucknow, India, is actively involved in the fields of Medicinal Chemistry & Computer Aided Drug Design (CADD). With 50+ years of research experience, several publications in journals and books, and 70 patents, he is the recipient of numerous awards, including the Alexander von Humboldt Fellowship, INSA Young Scientist Medal , Themis Chemicals UDCT Diamond Jubilee Distinguished Fellowship, Ranbaxy Research Award in Pharmaceutical Sciences, an Honorary Medal for outstanding contributions to Medicinal Chemistry and International Scientific collaboration Moscow, Russia, 2004, and Prof. P.K. Bose Memorial Award (Indian Chemical Society, 2009). Dr. Saxena is a Fellow of the Royal Society of Chemistry, UK, and is also series editor of “Topics in Medicinal Chemistry” published by Springer. He is the Editorial Board Member of different journals like Medicinal Chemistry Research, SAR and QSAR in Environmental Research, Current Topics in Medicinal Chemistry and online International journal ARKIVOC, and he is also member of several committees including the American Chemical Society.