Recording Evolution Supervised by a Genetic Algorithm for Quantitative Structure-Activity Relationship Optimization

A genetic algorithm for structure-activity relationships optimization was developed and implemented. The genetic algorithm was designed to be feed with families of molecular descriptors, and was tested on Molecular Descriptors Family. The objective of the genetic algorithm was to optimize the multip...

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Detalhes bibliográficos

Principais autores:	Lorentz JÄNTSCHI, Sorana D. BOLBOACĂ, Radu E. SESTRAŞ
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca 2010-06-01
coleção:	Applied Medical Informatics
Assuntos:	Simulating evolution Genetic algorithms (GAs) Structure-Activity Relationships (SARs) Multiple Linear Regressions (MLRs).
Acesso em linha:	http://ami.info.umfcluj.ro/Full-text/AMI_26_2010/AMI%2826%29_089_100.pdf
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