Letters in Drug Design & Discovery

G. Perry
University of Texas
San Antonio, TX
USA
Email: lddd@benthamscience.org

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Classification and Prediction of Tripeptides Inhibiting HIV-1 Tat/TAR-RNA Interaction Using a Self-Organizing Map

Author(s): A. Givehchi, V. Ludwig, O. Boden, A. Krebs, U. Scheffer, M. Gobel, G. Schneider.

Abstract:

A self-organizing map (SOM) was used for identification of synthetic tripeptides to HIV-1 TAR-RNA. This virtual screening strategy identified a phenanthrene-Arg-Arg sequence with an IC50 value of 5 μM. The SOM technique was shown to be applicable to RNA-ligand finding following an entirely ligand-based approach.

Keywords: Neural network, Peptide, SOM, Kohonen network, Virtual screening, Docking

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Article Details

VOLUME: 4
ISSUE: 6
Year: 2007
Page: [410 - 416]
Pages: 7
DOI: 10.2174/157018007781387791
Price: $58