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Bioinformatics Techniques for Drug Discovery : Applications for Complex Diseases / by Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi.

SpringerLink Books Computer Science (2011-2024) Available online

View online
Format:
Book
Author/Creator:
Kaushik, Aman Chandra, author.
Kumar, Ajay (Mechanical engineer), author.
Bharadwaj, Shiv, author.
Chaudhary, Ravi, author.
Sahi, Shakti, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
SpringerBriefs in computer science 2191-5768
SpringerBriefs in Computer Science, 2191-5768
Language:
English
Subjects (All):
Bioinformatics.
Systems biology.
Pharmacology.
Computational Biology/Bioinformatics.
Systems Biology.
Pharmacology/Toxicology.
Local Subjects:
Computational Biology/Bioinformatics.
Systems Biology.
Pharmacology/Toxicology.
Physical Description:
1 online resource (XI, 57 pages) : 8 illustrations, 7 illustrations in color.
Edition:
First edition 2018.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
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.
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-3-319-75732-2
9783319757322
9783319757315
9783319757339
Access Restriction:
Restricted for use by site license.

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