Computational Phytochemistry

Herausgeber: Nahar, Lutfun; Sarker, Satyajit Dey

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Elsevier - Health Sciences Division
• 2 ed
• Seitenzahl: 530
• Erscheinungstermin: 8. März 2024
• Englisch
• Abmessung: 150mm x 230mm x 31mm
• Gewicht: 834g
• ISBN-13: 9780443161025
• ISBN-10: 044316102X
• Artikelnr.: 68651975

Inhaltsangabe

1. Computational phytochemistry: An overview
2. Response surface methodology in phytochemical research
3. Prediction of medicinal properties using mathematical models and
computation, and selection of plant materials
4. Optimisation of extraction using mathematical models and computation
5. Application of computational methods in isolation of plant secondary
metabolites
6. Application of computation in creating dereplicated phytochemical
libraries
7. Application of computational methods in high throughput screening of
phytochemicals
8. Prediction of structure based on spectral data using computational
techniques
9. Application of mathematical models and computation in plant metabolomics
10. Application of computation in the study of biosynthesis of
phytochemicals
11. Computational aids for assessing bioactivities
12. Computational approaches to phytochemical drug discovery
13. Virtual screening of phytochemicals
14. Predictive toxicology of phytochemicals
15. Network pharmacology in phytochemical research