Biophysical and Computational Tools in Drug Discovery (Paperback, 1st ed. 2021)

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 Foerster 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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Topics in Medicinal Chemistry, 37
Release date:	October 2022
First published:	2021
Editors:	Anil Kumar Saxena
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	402
Edition:	1st ed. 2021
ISBN-13:	978-3-03-085283-2
Categories:	Books > Science & Mathematics > Chemistry > Physical chemistry > General Books > Science & Mathematics > Biology, life sciences > Biochemistry > General
LSN:	3-03-085283-0
Barcode:	9783030852832

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