Unlocking the Potential of Bioinformatics in Pharmaceutical and Medical Sciences

In the rapidly evolving landscape of drug development, the convergence of bioinformatics, artificial intelligence, machine learning, and omics technologies is revolutionizing the industry. This timely book, edited by Vivek Chavda, K. Anand, and Vasso Apostolopoulos, provides a comprehensive overview of the latest advancements in these fields and their applications in pharmaceutical and medical sciences.

A Comprehensive Guide to Bioinformatics Tools and Applications

The book is divided into three sections, featuring 17 chapters that delve into the following topics:

• Bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies
• Bioinformatics tools for the pharmaceutical sector
• Bioinformatics tools for the healthcare sector

By harnessing the power of bioinformatics, researchers and scientists can accelerate drug target and vaccine design development, improve validation approaches, facilitate the identification of side effects, and predict drug resistance. This leads to more successful drug candidates, reduced costs, and a more streamlined process from discovery to clinical trials to market.

Benefits and Applications for Researchers and Scientists

This book provides:

• Practical applications of bioinformatics tools in pharmaceutical drug product development, including process development, pre-clinical development, clinical development, and commercialization
• Insights into the expanding application of bioinformatics tools and the unique challenges associated with this approach
• A broad and deep background, as well as updates, on recent advances in medicine and AI/ML that enable the application of cutting-edge bioinformatics tools

This comprehensive resource is designed for researchers and scientists in academia and industry, including drug developers, computational biochemists, bioinformaticians, immunologists, pharmaceutical and medical sciences professionals, as well as those in artificial intelligence and machine learning.

Product Details:

Publisher: Wiley-Scrivener

Edition: 1st

Release Date: March 14, 2023

Language: English

Format: Hardcover

Pages: 448

ISBN-10: 1119865115

ISBN-13: 978-1119865117