Current Trends in Computational Modeling for Drug Discovery
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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| Соавтор: | |
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| Другие авторы: | , |
| Формат: | Электронный ресурс eКнига |
| Язык: | английский |
| Опубликовано: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Редактирование: | 1st ed. 2023. |
| Серии: | Challenges and Advances in Computational Chemistry and Physics,
35 |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-3-031-33871-7 |
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Оглавление:
- 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.