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Computer-Aided Drug Design

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computer-Aided Drug Design/ edited by Dev Bukhsh Singh.
other author:	Singh, Dev Bukhsh.
Description:	XIII, 306 p. 80 illus., 54 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Pharmacology. -
Online resource:	https://doi.org/10.1007/978-981-15-6815-2
ISBN:	9789811568152

Computer-Aided Drug Design
Computer-Aided Drug Design[electronic resource] /edited by Dev Bukhsh Singh. - 1st ed. 2020. - XIII, 306 p. 80 illus., 54 illus. in color.online resource.

1 Computational Approaches in Drug Discovery and Design -- 2 Molecular Modeling of Proteins: Methods, Recent Advances and Future Prospects -- 3 Cavity/Binding Site Prediction Approaches, and their Applications -- 4 Role of ADMET Tools in Current Scenario; Application and Limitations -- 5 Database Resources for Drug Discovery -- 6 Molecular Docking and Structure-Based Drug Design -- 7 Molecular Dynamics Simulation of Protein and Protein-Ligand Complexes -- 8 Computational Approaches for Drug Target Identification -- 9 Computational Screening Techniques for Lead Design and Development -- 10 Advances in Pharmacophore Modeling and its Role in Drug Designing -- 11 In Silico Designing of Vaccines: Methods, Tools and Their Limitations -- 12 Machine learning Approaches to Rational Drug Design. .

This book provides up-to-date information on bioinformatics tools for the discovery and development of new drug molecules. It discusses a range of computational applications, including three-dimensional modeling of protein structures, protein-ligand docking, and molecular dynamics simulation of protein-ligand complexes for identifying desirable drug candidates. It also explores computational approaches for identifying potential drug targets and for pharmacophore modeling. Moreover, it presents structure- and ligand-based drug design tools to optimize known drugs and guide the design of new molecules. The book also describes methods for identifying small-molecule binding pockets in proteins, and summarizes the databases used to explore the essential properties of drugs, drug-like small molecules and their targets. In addition, the book highlights various tools to predict the absorption, distribution, metabolism, excretion (ADME) and toxicity (T) of potential drug candidates. Lastly, it reviews in silico tools that can facilitate vaccine design and discusses their limitations.

ISBN: 9789811568152

Standard No.: 10.1007/978-981-15-6815-2doiSubjects--Topical Terms:

583819
Pharmacology.

LC Class. No.: RM1-950

Dewey Class. No.: 615

Computer-Aided Drug Design
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505 0 $a 1 Computational Approaches in Drug Discovery and Design -- 2 Molecular Modeling of Proteins: Methods, Recent Advances and Future Prospects -- 3 Cavity/Binding Site Prediction Approaches, and their Applications -- 4 Role of ADMET Tools in Current Scenario; Application and Limitations -- 5 Database Resources for Drug Discovery -- 6 Molecular Docking and Structure-Based Drug Design -- 7 Molecular Dynamics Simulation of Protein and Protein-Ligand Complexes -- 8 Computational Approaches for Drug Target Identification -- 9 Computational Screening Techniques for Lead Design and Development -- 10 Advances in Pharmacophore Modeling and its Role in Drug Designing -- 11 In Silico Designing of Vaccines: Methods, Tools and Their Limitations -- 12 Machine learning Approaches to Rational Drug Design. .
520 $a This book provides up-to-date information on bioinformatics tools for the discovery and development of new drug molecules. It discusses a range of computational applications, including three-dimensional modeling of protein structures, protein-ligand docking, and molecular dynamics simulation of protein-ligand complexes for identifying desirable drug candidates. It also explores computational approaches for identifying potential drug targets and for pharmacophore modeling. Moreover, it presents structure- and ligand-based drug design tools to optimize known drugs and guide the design of new molecules. The book also describes methods for identifying small-molecule binding pockets in proteins, and summarizes the databases used to explore the essential properties of drugs, drug-like small molecules and their targets. In addition, the book highlights various tools to predict the absorption, distribution, metabolism, excretion (ADME) and toxicity (T) of potential drug candidates. Lastly, it reviews in silico tools that can facilitate vaccine design and discusses their limitations.
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