Kinase-targeted library design through the application of the PharmPrint methodology.

J Chem Inf Model

GlaxoSmithKline, Five Moore Drive, Research Triangle Park, North Carolina 27709, USA.

Published: December 2008

AI Article Synopsis

  • The PharmPrint methodology, modified by Deanda and Stewart, was evaluated as a virtual high-throughput screening tool for designing target-focused arrays.
  • QSAR models were developed to predict inhibition of specific kinases (AKT1, Aurora-A, and ROCK1) and were used to screen large libraries, leading to the design of targeted arrays for Aurora-A and ROCK1.
  • The results showed significant enrichment in the hit rates for both arrays compared to control groups, validating the effectiveness of PharmPrint for designing kinase-targeted arrays.

Article Abstract

The PharmPrint methodology, as modified and implemented by Deanda and Stewart, was prospectively evaluated for use as a virtual high-throughput screening tool by applying it to the design of target-focused arrays. To this end, PharmPrint quantitative structure-activity relationship (QSAR) models for the prediction of AKT1, Aurora-A, and ROCK1 inhibition were constructed and used to virtually screen two large combinatorial libraries. Based on predicted activities, an Aurora-A targeted array and a ROCK1 targeted array were designed and synthesized. One control group per designed array was also synthesized to assess the enrichment levels achieved by the QSAR models. For the Aurora-A targeted array, the hit rate, against the intended target, was 42.9%, whereas that of the control group was 0%. Thus, the enrichment level achieved by the Aurora-A QSAR model was incalculable. For the ROCK1 targeted array, the hit rate against the intended target was 30.6%, whereas that of the control group was 5.10%, making the enrichment level achieved by the ROCK1 QSAR model 6-fold above control. Clearly, these results support the use of the PharmPrint methodology as a virtual screening tool for the design of kinase-targeted arrays.

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Source
http://dx.doi.org/10.1021/ci800276tDOI Listing

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