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In Silico Modeling of Drugs Against Coronaviruses : Computational Tools and Protocols / edited by Kunal Roy.
- Format:
- Book
- Series:
- Springer Protocols (Springer-12345)
- Methods in pharmacology and toxicology 1940-6053
- Methods in Pharmacology and Toxicology, 1940-6053
- Language:
- English
- Subjects (All):
- Virology.
- Pharmacology.
- Computer simulation.
- Drugs-Design.
- Vaccines-Biotechnology.
- Biomaterials.
- Computer Modelling.
- Structure-Based Drug Design.
- Biomaterials-Vaccines.
- Local Subjects:
- Virology.
- Pharmacology.
- Computer Modelling.
- Structure-Based Drug Design.
- Biomaterials-Vaccines.
- Physical Description:
- 1 online resource (XXVI, 788 pages) : 191 illustrations, 162 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- New York, NY : Springer US : Imprint: Humana, 2021.
- System Details:
- text file PDF
- Summary:
- This essential volume explores a variety of tools and protocols of structure-based (homology modeling, molecular docking, molecular dynamics, protein-protein interaction network) and ligand-based (pharmacophore mapping, quantitative structure-activity relationships or QSARs) drug design for ranking and prioritization of candidate molecules in search of effective treatment strategy against coronaviruses. Beginning with an introductory section that discusses coronavirus interactions with humanity and COVID-19 in particular, the book then continues with sections on tools and methodologies, literature reports and case studies, as well as online tools and databases that can be used for computational anti-coronavirus drug research. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of practical detail and implementation advice that ensures high quality results in the lab. Comprehensive and timely, In Silico Modeling of Drugs 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-1-0716-1366-5
- 9781071613665
- Access Restriction:
- Restricted for use by site license.
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