Revisiting protein kinase-substrate interactions: Toward therapeutic development.

Despite the efforts of pharmaceutical companies to develop specific kinase modulators, few drugs targeting kinases have been completely successful in the clinic. This is primarily due to the conserved nature of kinases, especially in the catalytic domains. Consequently, many currently available inhibitors lack sufficient selectivity for effective clinical application. Kinases phosphorylate their substrates to modulate their activity. One of the important steps in the catalytic reaction of protein phosphorylation is the correct positioning of the target residue within the catalytic site. This positioning is mediated by several regions in the substrate binding site, which is typically a shallow crevice that has critical subpockets that anchor and orient the substrate. The structural characterization of this protein-protein interaction can aid in the elucidation of the roles of distinct kinases in different cellular processes, the identification of substrates, and the development of specific inhibitors. Because the region of the substrate that is recognized by the kinase can be part of a linear consensus motif or a nonlinear motif, advances in technology beyond simple linear sequence scanning for consensus motifs were needed. Cost-effective bioinformatics tools are already frequently used to predict kinase-substrate interactions for linear consensus motifs, and new tools based on the structural data of these interactions improve the accuracy of these predictions and enable the identification of phosphorylation sites within nonlinear motifs. In this Review, we revisit kinase-substrate interactions and discuss the various approaches that can be used to identify them and analyze their binding structures for targeted drug development.

Mutations in the human phospholamban gene in patients with heart failure.

BACKGROUND: Phospholamban (PLN) is a crucial Ca(2+) cycling protein and a primary mediator of the ß-adrenergic effects resulting in enhanced cardiac output. Mutations in the gene encoding PLN have been associated with idiopathic dilated cardiomyopathy; however, no systematic search for PLN mutations in heart failure has been conducted. METHODS: We screened a cohort of 1,014 Brazilian patients with heart failure for mutations in the PLN gene. Molecular modeling studies of the mutations found were developed. Different disease etiologies were present in our sample: idiopathic, ischemic, Chagas, valvular, hypertensive, and others. RESULTS: We identified 4 unrelated patients with PLN mutations (prevalence of 0.4%), 3 of them in the same amino acid residue (R9). Two patients presented a G-T missense mutation at the G26 nucleotide, which encodes an Arg-Leu substitution at codon 9 (R9L). One patient presented a G-A missense mutation at the same nucleotide, which encodes an Arg-His substitution at codon 9 (R9H). The fourth affected patient presented a T-G nonsense mutation at the nucleotide 116, substituting a termination codon for Leu-39 (L39stop). Molecular modeling studies suggested that R9L and R9H mutations might affect the region involved in protein kinase A docking and probably affect the mechanism modulating the release of phosphorylated PLN from the substrate binding site of protein kinase A. CONCLUSIONS: Mutations in the PLN gene are a rare cause of heart failure, present almost exclusively in patients with dilated cardiomyopathy etiology. The Arg9 and Leu39 residues are the leading location of mutations described at this locus to date. Despite the few mutated residues described to date, the clinical spectrum of presentation appears to vary considerably.