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Quick Guideline For Computational Drug Design Revised Edition Sehgal

  • SKU: BELL-36506536
Quick Guideline For Computational Drug Design Revised Edition Sehgal
$ 31.00 $ 45.00 (-31%)

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Quick Guideline For Computational Drug Design Revised Edition Sehgal instant download after payment.

Publisher: Bentham Science Publishers
File Extension: PDF
File size: 6.59 MB
Pages: 124
Author: Sehgal, Sheikh Arslan, Tahir, Rana Adnan, Waqas, Muhammad
ISBN: 9789814998703, 9814998702
Language: English
Year: 2021

Product desciption

Quick Guideline For Computational Drug Design Revised Edition Sehgal by Sehgal, Sheikh Arslan, Tahir, Rana Adnan, Waqas, Muhammad 9789814998703, 9814998702 instant download after payment.

Bioinformatics allows researchers to answer biological questions with advanced computational methods which involves the application of statistics and mathematical modeling. Structural bioinformatics enables the prediction and analysis of 3D structures of macromolecules while Computer Aided Drug Designing (CADD) assists scientists to design effective active molecules against diseases. However, the concepts in structural bioinformatics and CADD can be complex to understand for students and educated laymen.
This quick guideline is intended as a basic manual for beginner students and instructors involved in bioinformatics and computational chemistry courses. Readers will learn the basics of structural bioinformatics, primary and secondary analysis and prediction, structural visualization, structural analysis and molecular docking. The book provides the reader an easy to read summary of the tools and techniques in structural bioinformatics as well as their limitations.
In this revised edition, the authors have updated information in a number of chapters with a specific focus on the section on protein structure visualization and evaluation. Additional information on protein-ligand interaction studies has also been provided in this new edition.
Therefore, the book is a useful handbook for aspiring scholars who wish to learn the basic concepts in computational analysis of biomolecules.

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