Current Trends in Computational Modeling for Drug Discovery [E-Book] / edited by Supratik Kar, Jerzy Leszczynski.
This contributed volume offers a comprehensive discussion on how to design and discover pharmaceuticals using computational modeling techniques. The different chapters deal with the classical and most advanced techniques, theories, protocols, databases, and tools employed in computer-aided drug desi...
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Personal Name(s): | Kar, Supratik, editor |
Leszczynski, Jerzy, editor | |
Edition: |
1st edition 2023. |
Imprint: |
Cham :
Springer,
2023
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Physical Description: |
XV, 301 pages 121 illustrations, 65 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031338717 |
DOI: |
10.1007/978-3-031-33871-7 |
Series Title: |
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Challenges and Advances in Computational Chemistry and Physics ;
35 |
Subject (LOC): |
- SBDD and its challenges
- In silico discovery of class IIb HDAC inhibitors: The state of art
- Role of computational modelling in drug discovery for Alzheimer's disease
- Computational Modeling in the Development of Antiviral Agents
- Targeted computational approaches to identify potential inhibitors for Nipah virus
- Role of Computational Modelling in Drug Discovery for HIV
- Recent insight of the emerging severe fever with thrombocytopenia syndrome virus: drug discovery, therapeutic options, and limitations
- Computational toxicological aspects in drug design and discovery, screening adverse effects
- Read-Across and RASAR tools from the DTC Laboratory
- Databases for Drug Discovery and Development.