Computer Applications in Drug Discovery and Development

Computer Applications in Drug Discovery and Development by A. Puratchikody, published by Medical Information Science Reference on August 3, 2018, is a comprehensive resource that explores the intersection of computational methods and drug development. This edition spans 300 pages and is presented in English, focusing on innovative strategies that enhance the efficiency of drug discovery while addressing the ethical concerns surrounding animal experimentation.
Readers will find a detailed examination of how computational techniques are reshaping the landscape of pharmacology and medicinal chemistry. The book discusses the use of chemical structure databases and dataset utilization, emphasizing the importance of virtual screening strategies in mitigating high drug failure rates. Aimed at chemical engineers, pharmacists, molecular biologists, students, researchers, and academicians, this work offers insights into current research and future perspectives in drug design, making it a valuable addition to the field.
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With more restrictions upon animal experimentations, pharmaceutical industries are currently focusing on a new generation of experiments and technologies that are considerably more efficient and less controversial. The integration of computational and experimental strategies has led to the identification and development of promising compounds.
Computer Applications in Drug Discovery and Development is a pivotal reference source that provides innovative research on the application of computers for discovering and designing new drugs in modern molecular biology and medicinal chemistry. While highlighting topics such as chemical structure databases and dataset utilization, this publication delves into the current panorama of drug discovery, where high drug failure rates are a major concern and properly designed virtual screening strategies can be a time-saving, cost-effective, and productive alternative. This book is ideally designed for chemical engineers, pharmacists, molecular biologists, students, researchers, and academicians seeking current research on the unexplored avenues and future perspectives of drug design.
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