Genetic algorithms in molecular modeling /
Saved in:
| Imprint: | London ; San Diego : Academic Press, 1996. |
|---|---|
| Description: | viii, 327 p. : ill. (some col.) ; 24 cm. |
| Language: | English |
| Series: | Principles of QSAR and drug design ; 1 |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/4432706 |
Table of Contents:
- 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
