Academic Journals Database
Disseminating quality controlled scientific knowledge

Self-organizing Neural Networks for Modeling Robust 3D and 4D QSAR: Application to Dihydrofolate Reductase Inhibitors

ADD TO MY LIST
 
Author(s): Jaroslaw Polanski | Andrzej Bak | Rafal Gieleciak | Tomasz Magdziarz

Journal: Molecules
ISSN 1420-3049

Volume: 9;
Issue: 12;
Start page: 1148;
Date: 2004;
Original page

Keywords: Self-organizing neural network | 3D QSAR | 4D QSAR | SOM-4D QSAR | CoMSA.

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.
Perfect English Grammar     Download IEC Standards