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Bioinformatics techniques for drug d...

Kaushik, Aman Chandra.

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Bioinformatics techniques for drug discovery = applications for complex diseases /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bioinformatics techniques for drug discovery/ by Aman Chandra Kaushik ... [et al.].
Reminder of title:	applications for complex diseases /
other author:	Kaushik, Aman Chandra.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xi, 57 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Drugs - Design -
Online resource:	http://dx.doi.org/10.1007/978-3-319-75732-2
ISBN:	9783319757322

Bioinformatics techniques for drug discovery = applications for complex diseases /
Bioinformatics techniques for drug discoveryapplications for complex diseases /[electronic resource] :by Aman Chandra Kaushik ... [et al.]. - Cham :Springer International Publishing :2018. - xi, 57 p. :ill., digital ;24 cm. - 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:

752557
Drugs
--Design

LC Class. No.: RS420

Dewey Class. No.: 615.1900285

Bioinformatics techniques for drug discovery = applications for complex diseases /
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505 0 $a 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.
520 $a 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.
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