Evolutionary Algorithms in Molecular Design

Evolutionary Algorithms in Molecular Design
Author :
Publisher : John Wiley & Sons
Total Pages : 288
Release :
ISBN-10 : 9783527613175
ISBN-13 : 352761317X
Rating : 4/5 (17X Downloads)

Book Synopsis Evolutionary Algorithms in Molecular Design by : David E. Clark

Download or read book Evolutionary Algorithms in Molecular Design written by David E. Clark and published by John Wiley & Sons. This book was released on 2008-11-21 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: When trying to find new methods and problem-solving strategies for their research, scientists often turn to nature for inspiration. An excellent example of this is the application of Darwin's Theory of Evolution, particularly the notion of the 'survival of the fittest', in computer programs designed to search for optimal solutions to many kinds of problems. These 'evolutionary algorithms' start from a population of possible solutions to a given problem and, by applying evolutionary principles, evolve successive generations with improved characteristics until an optimal, or near-optimal, solution is obtained. This book highlights the versatility of evolutionary algorithms in areas of relevance to molecular design with a particular focus on drug design. The authors, all of whom are experts in their field, discuss the application of these computational methods to a wide range of research problems including conformational analysis, chemometrics and quantitative structure-activity relationships, de novo molecular design, chemical structure handling, combinatorial library design, and the study of protein folding. In addition, the use of evolutionary algorithms in the determination of structures by X-ray crystallography and NMR spectroscopy is also covered. These state-of-the-art reviews, together with a discussion of new techniques and future developments in the field, make this book a truly valuable and highly up-to-date resource for anyone engaged in the application or development of computer-assisted methods in scientific research.


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