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Biophysical and computational tools ...

Arora, A.

Biophysical and computational tools in drug discovery

Record Type:	Electronic resources : Monograph/item
Title/Author:	Biophysical and computational tools in drug discoveryedited by Anil Kumar Saxena ; with contributions by A. Arora ... [et al.].
other author:	Saxena, Anil Kumar.
Published:	Cham :Springer International Publishing :2021.
Description:	viii, 402 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Pharmacology.
Online resource:	https://doi.org/10.1007/978-3-030-85281-8
ISBN:	9783030852818$q(electronic bk.)

Biophysical and computational tools in drug discovery
Biophysical and computational tools in drug discovery[electronic resource] /edited by Anil Kumar Saxena ; with contributions by A. Arora ... [et al.]. - Cham :Springer International Publishing :2021. - viii, 402 p. :ill., digital ;24 cm. - Topics in medicinal chemistry,v. 371862-247X ;. - Topics in medicinal chemistry ;8..

Kinetic profiling of fragments by TR-FRET -- Role of Structural biology in drug discovery with emphasis on X-ray crystallography -- A computational search for peptide vaccines using novel mathematical descriptors of sequences of emerging pathogens -- Solution NMR methods in Drug Discovery for the series -- Applications of Mass Spectrometry in Herbal Drug Research -- Generative machine learning for drug discovery -- Structure and ligand based virtual screening in drug discovery -- Quantum Chemical and Quantum Dynamics Techniques for Drug Discovery Including Bioinorganic Compounds.

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 Forster 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.

ISBN: 9783030852818$q(electronic bk.)

Standard No.: 10.1007/978-3-030-85281-8doiSubjects--Topical Terms:

218135
Pharmacology.

LC Class. No.: RM301 / .B56 2021

Dewey Class. No.: 615.1

Biophysical and computational tools in drug discovery
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245 0 0 $a Biophysical and computational tools in drug discovery $h [electronic resource] / $c edited by Anil Kumar Saxena ; with contributions by A. Arora ... [et al.].
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300 $a viii, 402 p. : $b ill., digital ; $c 24 cm.
490 1 $a Topics in medicinal chemistry, $x 1862-247X ; $v v. 37
505 0 $a Kinetic profiling of fragments by TR-FRET -- Role of Structural biology in drug discovery with emphasis on X-ray crystallography -- A computational search for peptide vaccines using novel mathematical descriptors of sequences of emerging pathogens -- Solution NMR methods in Drug Discovery for the series -- Applications of Mass Spectrometry in Herbal Drug Research -- Generative machine learning for drug discovery -- Structure and ligand based virtual screening in drug discovery -- Quantum Chemical and Quantum Dynamics Techniques for Drug Discovery Including Bioinorganic Compounds.
520 $a 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 Forster 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.
650 0 $a Pharmacology. $3 218135
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650 0 $a Drug development. $3 190608
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650 2 4 $a Physical Chemistry. $3 273698
650 2 4 $a Biological Techniques. $3 276128
650 2 4 $a Computer Applications in Chemistry. $3 273872
700 1 $a Saxena, Anil Kumar. $3 814695
700 1 $a Arora, A. $3 908474
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