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Letters in Drug Design & Discovery

Editor-in-Chief

ISSN (Print): 1570-1808
ISSN (Online): 1875-628X

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 and G. Schneider

Volume 4, Issue 6, 2007

Page: [410 - 416] Pages: 7

DOI: 10.2174/157018007781387791

Price: $65

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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