Amino acids determining enzyme-substrate specificity in prokaryotic and eukaryotic protein kinases

Li, Lewyn; Shakhnovich, Eugene I.; Mirny, Leonid A.

doi:10.1073/pnas.0737647100

Cited by 83 publications

(87 citation statements)

References 43 publications

(76 reference statements)

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“…In most cases, these methods are based on the ideas of Mirny and Gelfand (27)(28)(29)(30), who suggested that functional specificity is determined by protein regions that are more similar within a group having a common function than between groups with distinct functions. Previous analysis of this Significance Specificity-determining positions (SDPs) account for distinctions in function across a protein family.…”

mentioning

confidence: 99%

Basis for substrate recognition and distinction by matrix metalloproteinases

Ratnikov¹,

Cieplak²,

Gramatikoff³

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

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Genomic sequencing and structural genomics produced a vast amount of sequence and structural data, creating an opportunity for structure-function analysis in silico [Radivojac P, et al. (2013) Nat Methods 10(3):221-227]. Unfortunately, only a few large experimental datasets exist to serve as benchmarks for functionrelated predictions. Furthermore, currently there are no reliable means to predict the extent of functional similarity among proteins. Here, we quantify structure-function relationships among three phylogenetic branches of the matrix metalloproteinase (MMP) family by comparing their cleavage efficiencies toward an extended set of phage peptide substrates that were selected from ∼64 million peptide sequences (i.e., a large unbiased representation of substrate space). The observed second-order rate constants [k (obs) ] across the substrate space provide a distance measure of functional similarity among the MMPs. These functional distances directly correlate with MMP phylogenetic distance. There is also a remarkable and near-perfect correlation between the MMP substrate preference and sequence identity of 50-57 discontinuous residues surrounding the catalytic groove. We conclude that these residues represent the specificity-determining positions (SDPs) that allowed for the expansion of MMP proteolytic function during evolution. A transmutation of only a few selected SDPs proximal to the bound substrate peptide, and contributing the most to selectivity among the MMPs, is sufficient to enact a global change in the substrate preference of one MMP to that of another, indicating the potential for the rational and focused redesign of cleavage specificity in MMPs.protease | specificity-determining positions | MMPs A paramount objective of biological research is to understand how sequence encodes function. Previously, functional regions in proteins were identified using large-scale mutagenesis (e.g., alanine scanning) (1). More recently, our insights are largely gained by computational approaches aimed at comparing sequences and structures of large protein sets across multiple genomes. The vast increase in the number of available sequences makes it possible to compare homology between sequences from genome projects to proteins of known structure and function and, as a result, identify functional similarities in silico (2-4). Because the global fold of most ordered proteins can be reliably predicted (5, 6) and because the catalytic residues of most classes of enzymes are either known or can be inferred (7,8), protein sequences can now be directly used to elucidate and classify major protein functions (9-12), and are even being extended to predict enzyme substrates (13).However, such classifications fail to explain the specialization and expansion of function that is required for organismal plasticity, complexity, and adaptability, all of which are normally driven by gene duplications and subsequent divergence. Computational approaches aimed at identifying functional distinctions across protein families have pri...

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confidence: 99%

Basis for substrate recognition and distinction by matrix metalloproteinases

Ratnikov¹,

Cieplak²,

Gramatikoff³

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

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“…The authors used various statistical models to evaluate significance of mutual information and to identify so-called "specificity-determining" positions. [22][23][24] In our approach, we use two measures to evaluate the conservation of positions among proteins within the same subfamily and their diversity between different subfamilies. The combined two measures (entropies) result in a high resolution in identifying binding sites and other functional sites.…”

Section: Two-entropies Plot Versus "Mutual Information"mentioning

confidence: 99%

“…Thus, we are currently applying our method to the superfamily of protein kinases, which have already been analyzed by mutual information. 22 …”

Section: Two-entropies Plot Versus "Mutual Information"mentioning

confidence: 99%

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A two‐entropies analysis to identify functional positions in the transmembrane region of class A G protein‐coupled receptors

Lameijer

Beukers

et al. 2006

Proteins

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Residues in the transmembrane region of G protein-coupled receptors (GPCRs) are important for ligand binding and activation, but the function of individual positions is poorly understood. Using a sequence alignment of class A GPCRs (grouped in subfamilies), we propose a so-called "two-entropies analysis" to determine the potential role of individual positions in the transmembrane region of class A GPCRs. In our approach, such positions appear scattered, while largely clustered according to their biological function. Our method appears superior when compared to other bioinformatics approaches, such as the evolutionary trace method, entropy-variability plot, and correlated mutation analysis, both qualitatively and quantitatively.

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“…Recent developments in structural bioinformatics have contributed greatly to our understanding of protein-protein interactions (1)(2)(3)(4)(5)(6). Several groups have addressed the feasibility of computational redesign of protein-protein interactions by using native or homologous protein-protein interfaces (7)(8)(9)(10).…”

mentioning

confidence: 99%

Nonnatural protein–protein interaction-pair design by key residues grafting

Liu

Zhu

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

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Protein-protein interface design is one of the most exciting fields in protein science; however, designing nonnatural protein-protein interaction pairs remains difficult. In this article we report a de novo design of a nonnatural protein-protein interaction pair by scanning the Protein Data Bank for suitable scaffold proteins that can be used for grafting key interaction residues and can form stable complexes with the target protein after additional mutations. Using our design algorithm, an unrelated protein, rat PLC␦ 1-PH (pleckstrin homology domain of phospholipase C-␦1), was successfully designed to bind the human erythropoietin receptor (EPOR) after grafting the key interaction residues of human erythropoietin binding to EPOR. The designed mutants of rat PLC␦ 1-PH were expressed and purified to test their binding affinities with EPOR. A designed triple mutation of PLC␦ 1-PH (ERPH1) was found to bind EPOR with high affinity (K D of 24 nM and an IC50 of 5.7 M) both in vitro and in a cell-based assay, respectively, although the WT PLC␦ 1-PH did not show any detectable binding under the assay conditions. The in vitro binding affinities of the PLC␦ 1-PH mutants correlate qualitatively to the computational binding affinities, validating the design and the protein-protein interaction model. The successful practice of finding a proper protein scaffold and making it bind with EPOR demonstrates a prospective application in protein engineering targeting proteinprotein interfaces.de novo design of protein-protein interaction pair ͉ erythropoietin ͉ functional site grafting ͉ key residue at interface P rotein-protein interaction is critical in many biological processes ranging from cell differentiation to apoptosis; however, little is known about the general principles governing the specificity and binding affinity of protein-protein interactions. Recent developments in structural bioinformatics have contributed greatly to our understanding of protein-protein interactions (1-6). Several groups have addressed the feasibility of computational redesign of protein-protein interactions by using native or homologous protein-protein interfaces (7-10). Because different protein backbones can perform similar functions (11), in the current study we explored the feasibility of designing nonnatural protein-protein interaction pairs using known protein scaffolds.To reconstruct the function of a protein, one of the common strategies is grafting, i.e., transferring the functional epitopes from one protein to another. The critical step for protein grafting is to find suitable sites for functional epitope transfer. To this purpose, several computational methods have been developed including a geometric hashing paradigm (12), FITSITE (13), GRAFTER (14), and DEZYMER (15, 16). We have developed a strategy for protein-protein interface redesign by grafting discontinuous interaction epitopes to nonhomologous proteins (17-19). The erythropoietin (EPO)-EPO receptor (EPOR) system was used as an example for nonnatural protein-protein interaction-...

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Amino acids determining enzyme-substrate specificity in prokaryotic and eukaryotic protein kinases

Cited by 83 publications

References 43 publications

Basis for substrate recognition and distinction by matrix metalloproteinases

Basis for substrate recognition and distinction by matrix metalloproteinases

A two‐entropies analysis to identify functional positions in the transmembrane region of class A G protein‐coupled receptors

Nonnatural protein–protein interaction-pair design by key residues grafting

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