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Authored by Rupesh Kumar Gautam, Mohammad Amjad Kama, and Pooja Mittal, this comprehensive book delves into the role of computers in advancing pharmacology through innovative computational approaches.
The process of drug discovery and development is notoriously time-consuming and expensive. However, the pharmaceutical industry is increasingly turning to computer-assisted drug design (CADD) approaches to accelerate this process. By leveraging CADD, scientists can identify the most promising compounds, thereby minimizing the need for synthetic and biological testing.
This book examines the success stories of CADD in drug discovery, drug development, and its role in systems pharmacology. Furthermore, it explores the potential of artificial intelligence (AI) and deep machine learning in pharmacology, highlighting their transformative impact on the field.
Computational Approaches in Drug Discovery, Development, and Systems Pharmacology is an indispensable resource for researchers and academics working in the areas of CADD, pharmacology, and bioinformatics. This book provides a wealth of information on the applications of computational approaches in pharmacology, making it an essential read for those seeking to stay abreast of the latest developments in the field.
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