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Chemie.uni-erlangen.de.
| Content Provider | CiteSeerX |
|---|---|
| Author | Gasteiger, Johann Terfloth, Lothar Chemie, Organische |
| Abstract | reviews genomics supplement Neural networks and genetic algorithms in drug design Lothar Terfloth and Johann G asteiger Neural networks and genetic algorithms are versatile methods for a variety of tasks in rational drug design, including analysis of structure–activity data, establishment of quantitative structure– activity relationships (QSAR), gene prediction, locating protein-coding regions in DNA sequences, 3D structure alignment, pharmacophore perception, docking of ligands to receptors, automated generation of small organic compounds, and the design of combinatorial libraries. Here, we give a brief overview of these applications of neural networks and genetic algorithms in drug design, and provide an insight into the underlying principles of such methods. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Genetic Algorithm Review Genomics Supplement Neural Network Gene Prediction Versatile Method Dna Sequence Rational Drug Design Structure Alignment Small Organic Compound Pharmacophore Perception Neural Network Protein-coding Region Combinatorial Library Drug Design Drug Design Lothar Terfloth Underlying Principle Brief Overview Quantitative Structure Activity Relationship Structure Activity Data |
| Content Type | Text |
