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Authors Rupesh Kumar Gautam, Mohammad Amjad Kama, and Pooja Mittal present a comprehensive guide to the role of computers in advancing pharmacology in their book, Computational Approaches in Drug Discovery, Development and Systems Pharmacology.
The traditional process of drug discovery and development is a time-consuming and costly endeavor. However, the increasing adoption of computer-assisted drug design (CADD) approaches in the pharmaceutical industry is revolutionizing the process. By leveraging CADD, scientists can identify the most promising compounds, reducing the need for extensive synthetic and biological testing.
This book delves into the success stories of CADD in drug discovery, development, and its role in systems pharmacology. Furthermore, it explores the growing importance of artificial intelligence (AI) and deep machine learning in pharmacology, providing valuable insights into the future of drug research.
Computational Approaches in Drug Discovery, Development and Systems Pharmacology is an essential resource for researchers and academics working in the fields of CADD, pharmacology, and bioinformatics. With its in-depth analysis and expert guidance, this book is poised to become a seminal work in the field.
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