Computation in Bioinformatics by Group of Authors presents an comprehensive overview of bioinformatics and its applications in drug development.
This book examines the emergence of bioinformatics as a discipline that combines biology and computer science. It is currently being used to discover novel biological and pharmaceutical insights and play an increasingly important role in our efforts to combat various viral diseases, viruses, cancers, and other diseases.
The book begins with an explanation of the fundamentals of bioinformatics, such as DNA, RNA, protein structure, and computational modeling. Then it delves deeper into various aspects, including molecular modeling, gene sequencing, and microarray analysis.
Moreover, it discusses specialized applications, such as biomedicine, cancer discovery, oncology, biomedical discovery, etc., detailing challenges and breakthroughs. Finally, it shares a handful of advanced techniques, including machine learning, chemistry simulation, deep learning, random forest modelling, etc, for drug discovery and design.
Computation in Bioinformatics will appeal to researchers, engineers, and scientists from bioinformation, computational biology, computational medicine, synthetic biology, environmental science, to name only a few fields of study. It will be a valuable resource for anyone interested in understanding and contributing to the growing field of biomedicine.
Электронная Книга «Computation in BioInformatics» написана автором Группа авторов в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781119654766
Описание книги от Группа авторов
COMPUTATION IN BIOINFORMATICS Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design. The discovery of new solutions to pandemics is facilitated through the use of promising bioinformatics techniques and integrated approaches. This book covers a broad spectrum of the bioinformatics field, starting with the basic principles, concepts, and application areas. Also covered is the role of bioinformatics in drug design and discovery, including aspects of molecular modeling. Some of the chapters provide detailed information on bioinformatics related topics, such as silicon design, protein modeling, DNA microarray analysis, DNA-RNA barcoding, and gene sequencing, all of which are currently needed in the industry. Also included are specialized topics, such as bioinformatics in cancer detection, genomics, and proteomics. Moreover, a few chapters explain highly advanced topics, like machine learning and covalent approaches to drug design and discovery, all of which are significant in pharma and biotech research and development. Audience Researchers and engineers in computation biology, information technology, bioinformatics, drug design, biotechnology, pharmaceutical sciences.
