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Produktbild: Genetic Algorithms in Molecular Modeling

Genetic Algorithms in Molecular Modeling

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

20.06.1996

Verlag

Elsevier Science & Technology

Seitenzahl

327

Maße (L/B/H)

23,5/15,7/2,4 cm

Gewicht

621 g

Sprache

Englisch

ISBN

978-0-12-213810-2

Beschreibung

Rezension

"The series is a welcome addition to scattered literature on QSAR and drug design in over a dozen journals, and if judged by this first volume, the introduction of the series is timely. ...the book is a valuable addition to the growling literature associeated with the use of computers in chemistry. With the remaining books in this series, it ought to find a place on the desk of anyone who wishes to be kept abreast of recent advances in QSAR." --Milan Radic, Drake University, JOURNAL OF CHEMISTRY INFORMATION COMPUTER SCIENCES

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

20.06.1996

Verlag

Elsevier Science & Technology

Seitenzahl

327

Maße (L/B/H)

23,5/15,7/2,4 cm

Gewicht

621 g

Sprache

Englisch

ISBN

978-0-12-213810-2

EU-Ansprechpartner

Elsevier B.V.
Radarweg 29
1043 NX Amsterdam
NL
productsafety@elsevier.com

Herstelleradresse

Elsevier Science & Technology
London Wall 125
EC2Y 5AS London
GB
tradeorders@elsevier.com

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  • Produktbild: Genetic Algorithms in Molecular Modeling
  • 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.