Computational Biology in Drug Discovery and Repurposing

Computational Biology in Drug Discovery and Repurposing
Author :
Publisher : CRC Press
Total Pages : 478
Release :
ISBN-10 : 9781000988703
ISBN-13 : 1000988708
Rating : 4/5 (03 Downloads)

Book Synopsis Computational Biology in Drug Discovery and Repurposing by : Rajani Sharma

Download or read book Computational Biology in Drug Discovery and Repurposing written by Rajani Sharma and published by CRC Press. This book was released on 2024-08-16 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new book takes an in-depth look at the emerging and prospective field of computational biology and bioinformatics, which possesses the ability to analyze large accumulated biological data collected from sequence analysis of proteins and genes and cell population with an aim to make new predictions pertaining to drug discovery and new biology. The book explains the basic methodology associated with a bioinformatics and computational approach in drug designing. It then goes on to cover the implementation of computational programming, bioinformatics, pharmacophore modeling, biotechnological techniques, and pharmaceutical chemistry in designing drugs. The major advantage of intervention of computer language or programming is to cut down the number of steps and costs in the field of drug designing, reducing the repeating steps and saving time in screening the potent component for drug or vaccine designing. The book describes algorithms used for drug designing and the use of machine learning and AI in drug delivery and disease diagnosis, which are valuable in clinical decision-making. The implementation of robotics in different diseases like stroke, cancer, COVID-19, etc. is also addressed. Topics include machine learning, AI, databases in drug design, molecular docking, bioinformatics tools, target-based drug design, and immunoinformatics, chemoinformatics, and nanoinformatics in drug design. Drug repurposing in drug design in general as well as for specific diseases, including cancer, Alzheimer’s disease, tuberculosis, COVID-19, etc., is also addressed in depth.


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