English | 2023 | PDF | 15 MB | 471 Pages
Chukwuebuka Egbuna, Mithun Rudrapal, Habibu Tijjani, B0BNQ5XMYH, 9780323905930, 978-0323905930, 978-0-323-90593-0, 0323905935, 0323907164, 9780323907163, 978-0323907163
Phytochemistry, Computational Tools and
Databases in Drug Discovery presents the state-of-the-art in
computational methods and techniques for drug discovery studies from
medicinal plants. Various tools and databases for virtual screening and
characterization of plant bioactive compounds and their subsequent
predictions on biological targets for the discovery of new drugs against
specific diseases are presented, along with computational tools for the
prediction of the toxic effects of phytochemicals on living systems.
The book also provides in-depth insight on the applications of these
computational tools as well as the databases that describe the
interactions of phytochemicals with diseases along with predictions for
druggable bioactive compounds.
Useful for drug developers, medicinal
chemists, toxicologists, phytochemists, plant biochemists and analytical
chemists, this book clearly presents the various computational
techniques, tools and databases for phytochemical research.
- Provides the various databases, methods and procedures for computational drug discovery in plants
- Includes insights into the predictors for properties of phytochemicals against different diseases
- Discusses the applications of computational tools and their databases