Computational Phytochemistry

★★★★★ 4.8 103 reviews

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Management number 236843997 Release Date 2026/07/10 List Price $60.38 Model Number 236843997
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Computational Phytochemistry, Second Edition, explores how recent advances in computational techniques and methods have been embraced by phytochemical researchers to enhance many of their operations, refocusing and expanding the possibilities of phytochemical studies. By applying computational aids and mathematical models to extraction, isolation, structure determination, and bioactivity testing, researchers can obtain highly detailed information about phytochemicals and optimize working approaches.This book aims to support and encourage researchers currently working with or looking to incorporate computational methods into their phytochemical work. Topics in this book include computational methods for predicting medicinal properties, optimizing extraction, isolating plant secondary metabolites, and building dereplicated phytochemical libraries. The roles of high-throughput screening, spectral data for structural prediction, plant metabolomics, and biosynthesis are all reviewed before the application of computational aids for assessing bioactivities and virtual screening is discussed. Illustrated with detailed figures and supported by practical examples, this book is an indispensable guide for all those involved with the identification, extraction, and application of active agents from natural products.This new edition captures remarkable advancements in mathematical modeling and computational methods that have been incorporated in phytochemical research, addressing, e.g., extraction, isolation, structure determination, and bioactivity testing of phytochemicals.Includes step-by-step protocols for various computational and mathematical approaches applied to phytochemical researchFeatures clearly illustrated chapters contributed by highly reputable researchersCovers all key areas in phytochemical research, including virtual screening and metabolomics Read more

ISBN10 044316102X
ISBN13 978-0443161025
Edition 2nd
Language English
Publisher Elsevier
Dimensions 6 x 1.07 x 9 inches
Item Weight 1.54 pounds
Print length 530 pages
Publication date March 22, 2024

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