UID:
almafu_9959328254802883
Format:
1 online resource (280 pages) :
,
illustrations
ISBN:
9783527613168
,
3527613161
,
9783527613175
,
352761317X
Series Statement:
Methods and principles in medicinal chemistry ; v. 8
Content:
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, soluti.
Note:
Evolutionary Algorithms in Molecular Design; Contents; 1 Introduction to Evolutionary Algorithms; 2 Small-molecule Geometry Optimization and Conformational Search; 3 Protein-Ligand Docking; 4 De Now Molecular Design; 5 Quantitative Structure- Activity Relationships; 6 Chemometrics; 7 Chemical Structure Handling; 8 Molecular Diversity Analysis and Combmatorial Library Design; 9 Evolutionary Algorithms in Crystallographic Applications; 10 Structure Determination by NMR Spectroscopy; 11 Protein Folding; 12 New Techniques and Future Directions.
Additional Edition:
Print version: Evolutionary algorithms in molecular design. Weinheim ; New York : Wiley-VCH, ©2000 ISBN 3527301550
Additional Edition:
ISBN 9783527301553
Language:
English
Keywords:
Electronic books.
DOI:
10.1002/9783527613168
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9783527613168
