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Updated: Jul 10, 2026

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Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Self-organizing neural networks for modeling robust 3D and 4D QSAR: application to dihydrofolate reductase inhibitors
Jaroslaw Polanski1, Andrzej Bak, Rafal Gieleciak
1Department of Organic Chemistry, Institute of Chemistry, University of Silesia, PL-40-006 Katowice Poland. polanski@us.edu.pl
Molecules (Basel, Switzerland)
|November 17, 2007
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.
