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Evolutionary Algorithms in Molecular Design (Methods and Principles in Medicinal Chemistry) [Hardcover]

David E. Clark (Editor), Raimund Mannhold (Series Editor), Hugo Kubinyi (Series Editor), Hendrik Timmerman (Series Editor)


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Book Description

September 11, 2000 3527301550 978-3527301553
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.

Editorial Reviews

Review

"As any good book should, this one starts the mind working and asking questions" (Chromatographia, November 2001)

Product Details

  • Hardcover: 288 pages
  • Publisher: Wiley-VCH (September 11, 2000)
  • Language: English
  • ISBN-10: 3527301550
  • ISBN-13: 978-3527301553
  • Product Dimensions: 9.6 x 6.8 x 0.8 inches
  • Shipping Weight: 1.5 pounds
  • Amazon Best Sellers Rank: #5,453,931 in Books (See Top 100 in Books)

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Inside This Book (learn more)
First Sentence:
The past 30 years have seen the independent development of three biologically motivated computational problem-solving methods [1-3] grouped together under the term, evolutionary algorithms (EAs). Read the first page
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Academic Press, Handbook of Evolutionary Computation, Molecular Modelling, Files of Three-Dimensional Chemical Structures, Inf Comput, Rational Drug Design, San Mateo, John Wiley, Oxford University Press, Tripos Inc, Acta Crvstallogr, American Chemical Society, Morgan Kaufmann, University of Michigan Press, Ann Arbor, Generation Figure, New Approach, San Francisco, Elsevier Science Publishers, Evolutionarv Programming, Key Tasks, Kluwer Academic Publishers, Rational Combinatorial Library Design
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