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Review

Applications of soft computing in drug design

Pages 249-258 | Published online: 25 Feb 2005
 

Abstract

This review examines the role of soft computing methods such as artificial neural networks (ANNs), genetic algorithms (GAs), fuzzy logic (FL), chaos, fractals and cellular automata (CA) and their hybrids in the field of drug design. They have been found to be useful in a wide variety of areas including quantitative structure-activity relationship (QSAR), quantitative structure-property relationship (QSPR), variable selection, conformation searching, receptor docking, pharmacophore development, molecular design, combinatorial libraries, surface phenomena, kinetics and complex system studies. Based upon the studies examined, the use of soft computing techniques is likely to grow significantly in the future.

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