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Bioinformatics Techniques for Drug Discovery = Applications for Complex Diseases /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Bioinformatics Techniques for Drug Discovery/ by Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi.
Reminder of title:	Applications for Complex Diseases /
Author:	Kaushik, Aman Chandra.
other author:	Kumar, Ajay.
Description:	XI, 57 p. 8 illus., 7 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Bioinformatics. -
Online resource:	https://doi.org/10.1007/978-3-319-75732-2
ISBN:	9783319757322

Bioinformatics Techniques for Drug Discovery = Applications for Complex Diseases /
Kaushik, Aman Chandra.

Bioinformatics Techniques for Drug DiscoveryApplications for Complex Diseases /[electronic resource] :by Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi. - 1st ed. 2018. - XI, 57 p. 8 illus., 7 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5768. - SpringerBriefs in Computer Science,.

Brief Introduction -- Ligand-Based Approaches for Drug Design Using Computational Techniques -- Structure-Based Approaches for Drug Design Using Computational Technique -- Three-Dimensional Pharmacophore Modeling-Based Drug Design Using Computational Techniques -- Molecular Dynamics Simulation Approaches to Investigate the Dynamic Behavior of a System Through the Application of Newtonian Mechanics -- Receptor Thermodynamics of Ligand−Receptor and Ligand−Enzyme Association -- Thermodynamics Cycles and Their Application in Protein Targets -- Genomics and Proteomics Using Computational Biology.

The application of bioinformatics approaches in drug design involves an interdisciplinary array of sophisticated techniques and software tools to elucidate hidden or complex biological data. This work reviews the latest bioinformatics approaches used for drug discovery. The text covers ligand-based and structure-based approaches for computer-aided drug design, 3D pharmacophore modeling, molecular dynamics simulation, the thermodynamics of ligand−receptor and ligand−enzyme association, thermodynamic characterization and optimization, and techniques for computational genomics and proteomics.

ISBN: 9783319757322

Standard No.: 10.1007/978-3-319-75732-2doiSubjects--Topical Terms:

583857
Bioinformatics.

LC Class. No.: QH324.2-324.25

Dewey Class. No.: 570.285

Bioinformatics Techniques for Drug Discovery = Applications for Complex Diseases /
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