Computational Drug Discovery Drug Discovery Process & Methods
Computational Drug Discovery Drug Discovery Process & Methods by Prof Mohammed, published by Biocuration Labs on September 5, 2015, is a focused exploration of the intersection between computational biology and drug discovery. This 38-page book, written in English, originated from practical classes on genomics and proteomics offered to students at Bangalore University. The author recognized the challenges in obtaining a comprehensive overview of drug discovery and the rapid advancements in this field, prompting the creation of this resource.
Readers will find that the book addresses the complexities of drug design and the significant role of bioinformatics in modern medical and pharmacological research. It aims to provide life science students with a practical approach to understanding the methodologies involved in drug discovery. The content reflects the author’s extensive knowledge gained over five years, emphasizing the evolution of computational biology as a vital area of research.
Official synopsis Publisher
This book has originated from Practical class on Genomics & Proteomics that are offered to students of Computational Biology, Bangalore University of Bangalore. The idea to write a book on Computational Biology was born during the preparations of these practical where I realized that it is extremely difficult to achieve an overview of the area of Drug Discovery and to follow the progress of this field. This is the first book in 2015 and was written in English .Computational Biology is a major topic in modern medical, Life science and pharmacological research and is of central importance in the computational biology science. Accordingly, The enormous increase in data on Drug Designing has led me to leave out the practical on Computational Biology and. This topic has since evolved into a huge research area of its own that could not be considered adequately within this book. My knowledge of Drug Designing practical has exploded in the past 5 years, Bioinformatics could be treated here with the same thoroughness. It is the aim of the present book to describe the Bioinformatics practical approach for life science students.
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