Genetic algorithms in molecular modeling /

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Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume marks the beginning of an ew series of books, Principles in Qsar and Drug Design, which will be an indispensible reference for students and professionals involved in...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: International Workshop on Neural Networks and Genetic Algorithms Applied to QSAR and Drug Design
Otros Autores: Devillers, James, 1956-
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: London ; San Diego : Academic Press, �1996.
Colección:Principles of QSAR and drug design ; 1.
Temas:
Genetic algorithms.
Evolutionary programming (Computer science)
Combinatorial optimization.
Molecules > Models.
QSAR (Biochemistry)
Drugs > Design.
Computer-aided design.
Structure-activity relationships (Biochemistry)
Drug Design
Quantitative Structure-Activity Relationship
Algorithms
Computer-Aided Design
Models, Molecular
Structure-Activity Relationship
Algorithmes g�en�etiques.
Programmation �evolutive.
Optimisation combinatoire.
Mol�ecules > Mod�eles.
Relations structure-activit�e quantitatives (Biochimie)
M�edicaments > Conception.
Algorithmes.
Conception assist�ee par ordinateur.
Relations structure-activit�e (Biochimie)
algorithms.
computer-aided designs (visual works)
computer-aided design (process)
MEDICAL > Drug Guides.
MEDICAL > Pharmacology.
MEDICAL > Pharmacy.
MEDICAL > Nursing > Pharmacology.
Drugs > Design
Computer-aided design
Combinatorial optimization
Genetic algorithms
Molecules > Models
Geneesmiddelen.
Synthese (chemie)
Genetische algoritmen.
QSAR.
Molecular design.
Modellen.
Quimica farmaceutica.
Bioquimica.
Nucleo (citologia)
Electronic books.
Congress
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congr�es.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Genetic Algorithms in Computer-Aided Molecular Design. An Overviewe of Genetic Methods. Genetic Algorithms in Feature Selection. Some Theory and Examples of Genetic Function Approximation with Comparision to Evolutionary Techniques. Genetic Partial Least Squares in QSAR. Application of Genetic Algorithms to the General QSAR Problem and to Guiding Molecular Diversity Experiments. Prediction of the Progesterone Receptor Binding of Steroids Using a Combination of Genetic Algorithms and Neural Networks. Genetically Evolved Receptor Models (GERM): A Procedure for Construction of Atomic-Level Receptor Site Models in the Absence of a Receptor Crystal Structure. Genetic Algorithms for Chemical Structure Handling and Molecular Recognition. Genetic Selection of Aromatic Substituents for Designing Test Series. Computer-Aided Molecular Design Using Nerual Networks and Genetic Algorithms. Designing Biodegradable Molecules from the Combined Use of a Backpropagation Neural Network and a Genetic Algorithm.

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