Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12128/520| Title: | Self-organizing neural networks for modeling robust 3D and 4D QSAR: application to dihydrofolate reductase inhibitors |
| Authors: | Polański, Jarosław Gieleciak, Rafał Magdziarz, Tomasz Bąk, Andrzej |
| Keywords: | 3D QSAR; 4D QSAR; CoMSA; Self-organizing Neural Network; SOM-4D QSAR |
| Issue Date: | 2004 |
| Citation: | Molecules, (2004), iss. 12, p. 1148-1159 |
| Abstract: | We have used SOM and grid 3D and 4D QSAR schemes for modeling the activity of a series of dihydrofolate reductase inhibitors. Careful analysis of the performance and external predictivities proves that this method can provide an efficient inhibition model. |
| URI: | http://hdl.handle.net/20.500.12128/520 |
| ISSN: | 1420-3049 |
| Appears in Collections: | Artykuły (WNŚiT) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Polanski_Self-organizing_neural_networks_for_modeling_robust_3D.pdf | 517,8 kB | Adobe PDF | View/Open |
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