Literature DB >> 16139843

High affinity targets of protein kinase inhibitors have similar residues at the positions energetically important for binding.

Felix B Sheinerman1, Elie Giraud, Abdelazize Laoui.   

Abstract

Inhibition of protein kinase activity is a focus of intense drug discovery efforts in several therapeutic areas. Major challenges facing the field include understanding of the factors determining the selectivity of kinase inhibitors and the development of compounds with the desired selectivity profile. Here, we report the analysis of sequence variability among high and low affinity targets of eight different small molecule kinase inhibitors (BIRB796, Tarceva, NU6102, Gleevec, SB203580, balanol, H89, PP1). It is observed that all high affinity targets of each inhibitor are found among a relatively small number of kinases, which have similar residues at the specific positions important for binding. The findings are highly statistically significant, and allow one to exclude the majority of kinases in a genome from a list of likely targets for an inhibitor. The findings have implications for the design of novel inhibitors with a desired selectivity profile (e.g. targeted at multiple kinases), the discovery of new targets for kinase inhibitor drugs, comparative analysis of different in vivo models, and the design of "a-la-carte" chemical libraries tailored for individual kinases.

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Year:  2005        PMID: 16139843     DOI: 10.1016/j.jmb.2005.07.074

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  11 in total

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8.  Quantitative Structure-Activity Relationship Modeling of Kinase Selectivity Profiles.

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9.  On the origins of enzyme inhibitor selectivity and promiscuity: a case study of protein kinase binding to staurosporine.

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Journal:  Chem Biol Drug Des       Date:  2009-07       Impact factor: 2.817

10.  Prediction of specificity-determining residues for small-molecule kinase inhibitors.

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Journal:  BMC Bioinformatics       Date:  2008-11-25       Impact factor: 3.169

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