Editors:
- Documents protocols and case studies of computational drug design and computational drug repurposing
- Features structure-based and ligand-based approaches in drug design
- Covers machine learning/deep learning techniques in the development of coronavirus therapies
- Includes online tools and databases useful for computational anti-coronavirus drug development
Part of the book series: Methods in Pharmacology and Toxicology (MIPT)
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Table of contents (28 protocols)
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Front Matter
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Introduction
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Front Matter
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Tools and Methodologies
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Front Matter
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Case Studies and Literature Reports
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Front Matter
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About this book
Comprehensive and timely, In Silico Modeling ofDrugs Against Coronaviruses: Computational Tools and Protocols is an ideal reference for researchers working on the development of novel anti-coronavirus drugs for SARS-CoV-2 and for coronaviruses that will likely appear in the future.
Editors and Affiliations
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Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India
Kunal Roy
About the editor
Bibliographic Information
Book Title: In Silico Modeling of Drugs Against Coronaviruses
Book Subtitle: Computational Tools and Protocols
Editors: Kunal Roy
Series Title: Methods in Pharmacology and Toxicology
DOI: https://doi.org/10.1007/978-1-0716-1366-5
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2021
Hardcover ISBN: 978-1-0716-1365-8Published: 05 August 2021
Softcover ISBN: 978-1-0716-1368-9Published: 04 August 2021
eBook ISBN: 978-1-0716-1366-5Published: 03 August 2021
Series ISSN: 1557-2153
Series E-ISSN: 1940-6053
Edition Number: 1
Number of Pages: XXVI, 788
Number of Illustrations: 29 b/w illustrations, 162 illustrations in colour
Topics: Virology, Pharmacology/Toxicology, Simulation and Modeling, Theoretical and Computational Chemistry, Chemistry/Food Science, general, Biotechnology