Authors:
- Reviews new trends in drug discovery
- Describes the application of computer science techniques to medical data
- Discusses the use of health informatics in the development of new lead compounds?
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (8 chapters)
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Front Matter
About this book
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.
Authors and Affiliations
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School of life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
Aman Chandra Kaushik
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School of Engineering, Gautam Buddha University, Greater Noida, India
Ajay Kumar
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Nanotechnology Research and Application Center, Sabancı University, Tuzla, Turkey
Shiv Bharadwaj
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School of Biotechnology, Gautam Buddha University, Greater Noida, India
Ravi Chaudhary, Shakti Sahi
Bibliographic Information
Book Title: Bioinformatics Techniques for Drug Discovery
Book Subtitle: Applications for Complex Diseases
Authors: Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-319-75732-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2018
Softcover ISBN: 978-3-319-75731-5Published: 04 May 2018
eBook ISBN: 978-3-319-75732-2Published: 25 April 2018
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XI, 57
Number of Illustrations: 1 b/w illustrations, 7 illustrations in colour
Topics: Computational Biology/Bioinformatics, Systems Biology, Pharmacology/Toxicology