Imprint of evolutionary conservation and protein structure variation on the binding function of protein tyrosine kinases.
BACKGROUND
According to the models of divergent molecular evolution, the evolvability of new protein function may depend on the induction of new phenotypic traits by a small number of mutations of the binding site residues. Evolutionary relationships between protein kinases are often employed to infer inhibitor binding profiles from sequence analysis. However, protein kinases binding profiles may display inhibitor selectivity within a given kinase subfamily, while exhibiting cross-activity between kinases that are phylogenetically remote from the prime target. The emerging insights into kinase function and evolution combined with a rapidly growing number of publically available crystal structures of protein kinases complexes have motivated structural bioinformatics analysis of sequence-structure relationships in determining the binding function of protein tyrosine kinases.


RESULTS
In silico profiling of Imatinib mesylate and PD-173955 kinase inhibitors with protein tyrosine kinases is conducted on kinome scale by using evolutionary analysis and fingerprinting inhibitor-protein interactions with the panel of all publically available protein tyrosine kinases crystal structures. We have found that sequence plasticity of the binding site residues alone may not be sufficient to enable protein tyrosine kinases to readily evolve novel binding activities with inhibitors. While evolutionary signal derived solely from the tyrosine kinase sequence conservation can not be readily translated into the ligand binding phenotype, the proposed structural bioinformatics analysis can discriminate a functionally relevant kinase binding signal from a simple phylogenetic relationship. The results of this work reveal that protein conformational diversity is intimately linked with sequence plasticity of the binding site residues in achieving functional adaptability of protein kinases towards specific drug binding. This study offers a plausible molecular rationale to the experimental binding profiles of the studied kinase inhibitors and provides a theoretical basis for constructing functionally relevant kinase binding trees.
Verkhivker
Gennady M
GM
Department of Pharmacology, University of California San Diego 9500 Gilman Drive, La Jolla, CA 92093-0392, USA. gverkhiv@ucsd.edu
D000595:Amino Acid Sequence; D001665:Binding Sites; D003198:Computer Simulation; D017124:Conserved Sequence; D019143:Evolution, Molecular; D014644:Genetic Variation / Q000235:genetics; D008956:Models, Chemical; D008957:Models, Genetic; D008958:Models, Molecular; D008969:Molecular Sequence Data; D011485:Protein Binding; D011487:Protein Conformation; D011505:Protein-Tyrosine Kinases / Q000737:chemistry* / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods; D020539:Sequence Analysis, Protein / Q000379:methods*; D017386:Sequence Homology, Amino Acid; D013329:Structure-Activity Relationship
D011505:Protein-Tyrosine Kinases