Antiviral Drug Target Identification and Ligand Discovery

Patel, Hershna and Sengupta, Dipankar 2023. Antiviral Drug Target Identification and Ligand Discovery. in: Gore, M. and Jagtap, U.B. (ed.) Computational Drug Discovery and Design Springer.

Chapter titleAntiviral Drug Target Identification and Ligand Discovery
AuthorsPatel, Hershna and Sengupta, Dipankar
EditorsGore, M. and Jagtap, U.B.
AbstractThis chapter intends to provide a general overview of web-based resources available for antiviral drug discovery studies. First, we explain how the structure for a potential viral protein target can be obtained and then highlight some of the main considerations in preparing for the application of receptor-based molecular docking techniques. Thereafter, we discuss the resources to search for potential drug candidates (ligands) against this target protein receptor, how to screen them, and preparing their analogue library. We make specific reference to free, online, open-source tools and resources which can be applied for antiviral drug discovery studies. [Abstract copyright: © 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.]
KeywordsDatabases
Antiviral Agents - pharmacology
Binding site
Protein structure
Antiviral
Drug Discovery
Compound library
Drug Delivery Systems
Ligands
Molecular Docking Simulation
Drug target
Book titleComputational Drug Discovery and Design
Year2023
PublisherSpringer
Publication dates
Published08 Sep 2023
ISBN9781071634400
9781071634431
9781071634417
ISSN1940-6029
Digital Object Identifier (DOI)https://doi.org/10.1007/978-1-0716-3441-7_4
PubMed ID37676593
JournalMethods in molecular biology (Clifton, N.J.)
Journal citation2714, pp. 85-99

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