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Comparison of Pharmacophore Searching Methods for Potential Inhibitors of Tyrosine Kinases

Obdulia Rabal, Steffen Renner, Tina Grabowski, José I. Borrell, Gisbert Schneider and Jordi Teixidó, Grup d’Enginyeria Molecular, Institut Químic de Sarrià (IQS), Universitat Ramon Llull and Johann Wolfgang Goethe-Universität, Institut für Organische Chemie & Chemische Biologie

Date Posted: Tuesday, July 11, 2006

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Introduction

Tyrosine Kinases (TKs) are one of the most exploited groups of drug targets, whose known available inhibitors are mostly of the ATP-competitive type. Three pharmacophore searching methods were applied to finding potential ATP-competitive inhibitors of the Tyrosine Kinase family: i) manual pharmacophore modeling (MOE), ii) “fuzzy” pharmacophore models (SQUID), and iii) similarity searching based on correlation-vector representations of potential pharmacophore-points (CATS3D).

Performance comparison between these methods was based on retrospective virtual screening in a library containing ~5,000 drug-like molecules and different sets of known Tyrosine Kinase inhibitors as a reference. We determined the enrichment factors and the diversity in the retrieved molecular scaffolds (“chemotypes”) in the virtual hit lists.

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