Overview
- Examines successes, risks, and challenges of in-silico drug discovery
- Offers integrated case studies, including a discussion of drug resistance with respect to structure-based drug design
- Reviews the application of big data in drug discovery
Part of the book series: Challenges and Advances in Computational Chemistry and Physics (COCH, volume 27)
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About this book
The book offers an invaluable resource for graduate and postgraduate students, as well as forresearchers in academic and industrial laboratories working in the areas of chemoinformatics, medicinal and pharmaceutical chemistry and pharmacoinformatics.
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Keywords
- Structural Bioinformatics
- Drug Discovery Process
- Drug Discovery and Development
- Computer Aided Drug Design
- Predictive Chemoinformatics
- Virtual Screening of Drugs
- In Silico Molecular Modeling
- Molecular Docking
- Structure Based Drug Design
- Structure-activity Relationships
- Structure-function Relationships
- Pharmacoinformatics and Drug Discovery
- Predictive Models Drug Discovery
- Protein-ligand Interactions
- Computer-aided Molecular Design
- Biomolecular Interactions Drug Design
- Hydrogen Bonding and Protein Active Site
- Rational Drug Design
- Pharmaceutical Design
- Ligand Based Drug Design
Table of contents (12 chapters)
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Structural Bioinformatics: Applications in Preclinical Drug Discovery Process
Editors: C. Gopi Mohan
Series Title: Challenges and Advances in Computational Chemistry and Physics
DOI: https://doi.org/10.1007/978-3-030-05282-9
Publisher: Springer Cham
eBook Packages: Chemistry and Materials Science, Chemistry and Material Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-05281-2Published: 23 January 2019
eBook ISBN: 978-3-030-05282-9Published: 10 January 2019
Series ISSN: 2542-4491
Series E-ISSN: 2542-4483
Edition Number: 1
Number of Pages: XII, 406
Number of Illustrations: 27 b/w illustrations, 79 illustrations in colour
Topics: Computer Applications in Chemistry, Pharmaceutical Sciences/Technology, Protein-Ligand Interactions, Computational Biology/Bioinformatics, Medicinal Chemistry