Innovations and Implementations of Computer Aided Drug Discovery Strategies in Rational Drug Design

Innovations and Implementations of Computer Aided Drug Discovery Strategies in Rational Drug Design
Author :
Publisher : Springer Nature
Total Pages : 334
Release :
ISBN-13 : 9789811589362
ISBN-10 : 9811589364
Rating : 4/5 (64 Downloads)

Book Synopsis Innovations and Implementations of Computer Aided Drug Discovery Strategies in Rational Drug Design by : Sanjeev Kumar Singh

Download or read book Innovations and Implementations of Computer Aided Drug Discovery Strategies in Rational Drug Design written by Sanjeev Kumar Singh and published by Springer Nature. This book was released on 2021-02-02 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents various computer-aided drug discovery methods for the design and development of ligand and structure-based drug molecules. A wide variety of computational approaches are now being used in various stages of drug discovery and development, as well as in clinical studies. Yet, despite the rapid advances in computer software and hardware, combined with the exponential growth in the available biological information, there are many challenges that still need to be addressed, as this book shows. In turn, it shares valuable insights into receptor-ligand interactions in connection with various biological functions and human diseases. The book discusses a wide range of phylogenetic methods and highlights the applications of Molecular Dynamics Simulation in the drug discovery process. It also explores the application of quantum mechanics in order to provide better accuracy when calculating protein-ligand binding interactions and predicting binding affinities. In closing, the book provides illustrative descriptions of major challenges associated with computer-aided drug discovery for the development of therapeutic drugs. Given its scope, it offers a valuable asset for life sciences researchers, medicinal chemists and bioinformaticians looking for the latest information on computer-aided methodologies for drug development, together with their applications in drug discovery.


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