Computational Approaches In Drug Discovery Development And Systems Pharmacology
Download and Read Computational Approaches In Drug Discovery Development And Systems Pharmacology full books in PDF, ePUB, and Kindle. Read online free Computational Approaches In Drug Discovery Development And Systems Pharmacology ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Computational Approaches in Drug Discovery, Development and Systems Pharmacology
Author | : Rupesh Kumar Gautam |
Publisher | : Elsevier |
Total Pages | : 364 |
Release | : 2023-02-15 |
Genre | : Medical |
ISBN | : 0323993737 |
Download Computational Approaches in Drug Discovery, Development and Systems Pharmacology Book in PDF, Epub and Kindle
Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics. Explains computer use in pharmacology using real-life case studies Provides information about biological activities using computer technology, thus allowing for the possible reduction of the number of animals used for research Describes the role of AI in pharmacology and applications of CADD in various diseases
Computational Approaches in Drug Discovery, Development and Systems Pharmacology Related Books
Pages: 364
Pages: 348
Pages: 443
Pages: 255
Pages: 512