Computational Phytochemistry , 2nd Edition (Original PDF From Publisher)

Computational Phytochemistry , 2nd Edition (Original PDF From Publisher)

By Lutfun Nahar and Satyajit Dey Sarker

The second edition of computer Phytochemistry examines how phytochemical researchers have embraced new developments in computer approaches and

procedures to improve many of their operations, refocusing and broadening the scope of phytochemical studies.

Researchers can collect highly specific information about phytochemicals and optimize working approaches by using mathematical models and computational

aids in the extraction, isolation, structure determination and bioactivity testing processes.

The purpose of this book is to assist and motivate scholars who are either already using computational approaches in their work on phytochemicals or who are

wanting to do so.

This book covers computational techniques for isolating secondary metabolites from plants, improving extraction, predicting therapeutic qualities, and creating

dereplicated phytochemical libraries.

The use of computational tools for evaluating bioactivities and virtual screening is covered after reviewing the functions of high-throughput screening, plant

metabolomics, spectrum data for structural prediction, and biosynthesis.

This book is a vital resource for everybody involved in the identification, extraction, and use of active agents from natural materials.

It is backed by real-world examples and includes rich illustrations.

The extraordinary developments in mathematical modeling and computational techniques that have been applied to phytochemical research are captured in this

new edition, which covers topics such phytochemical extraction, isolation, structure identification and bioactivity testing.

Contains detailed instructions for a variety of mathematical and computational techniques used in phytochemical research.

Contains well-illustrated chapters written by very respected academics.

covers all of the major topics in phytochemical research, including as metabolomics and virtual screening.