Measuring and interpreting the selectivity of protein kinase inhibitors

Protein kinase inhibitors are a well-established class of clinically useful drugs, particularly for the treatment of cancer. Achieving inhibitor selectivity for particular protein kinases often remains a significant challenge in the development of new small molecules as drugs or as tools for chemical biology research. This review summarises the methodologies available for measuring kinase inhibitor selectivity, both in vitro and in cells. The interpretation of kinase inhibitor selectivity data is discussed, particularly with reference to the structural biology of the protein targets. Measurement and prediction of kinase inhibitor selectivity will be important for the development of new multi-targeted kinase inhibitors.     

Protein kinase biochemistry and drug discovery

Protein kinases are fascinating biological catalysts with a rapidly expanding knowledge base, a growing appreciation in cell regulatory control, and an ascendant role in successful therapeutic intervention. To better understand protein kinases, the molecular underpinnings of phosphoryl group transfer, protein phosphorylation, and inhibitor interactions are examined. This analysis begins with a survey of phosphate group and phosphoprotein properties which provide context to the evolutionary selection of phosphorylation as a central mechanism for biological regulation of most cellular processes. Next, the kinetic and catalytic mechanisms of protein kinases are examined with respect to model aqueous systems to define the elements of catalysis. A brief structural biology overview further delves into the molecular basis of catalysis and regulation of catalytic activity. Concomitant with a prominent role in normal physiology, protein kinases have important roles in the disease state. To facilitate effective kinase drug discovery, classic and emerging approaches for characterizing kinase inhibitors are evaluated including biochemical assay design, inhibitor mechanism of action analysis, and proper kinetic treatment of irreversible inhibitors. As the resulting protein kinase inhibitors can modulate intended and unintended targets, profiling methods are discussed which can illuminate a more complete range of an inhibitor's biological activities to enable more meaningful cellular studies and more effective clinical studies. Taken as a whole, a wealth of protein kinase biochemistry knowledge is available, yet it is clear that a substantial extent of our understanding in this field remains to be discovered which should yield many new opportunities for therapeutic intervention.     

Comprehensive assay of kinase catalytic activity reveals features of kinase inhibitor selectivity

Small-molecule protein kinase inhibitors are widely used to elucidate cellular signaling pathways and are promising therapeutic agents. Owing to evolutionary conservation of the ATP-binding site, most kinase inhibitors that target this site promiscuously inhibit multiple kinases. Interpretation of experiments that use these compounds is confounded by a lack of data on the comprehensive kinase selectivity of most inhibitors. Here we used functional assays to profile the activity of 178 commercially available kinase inhibitors against a panel of 300 recombinant protein kinases. Quantitative analysis revealed complex and often unexpected interactions between protein kinases and kinase inhibitors, with a wide spectrum of promiscuity. Many off-target interactions occur with seemingly unrelated kinases, revealing how large-scale profiling can identify multitargeted inhibitors of specific, diverse kinases. The results have implications for drug development and provide a resource for selecting compounds to elucidate kinase function and for interpreting the results of experiments involving kinase inhibitors.     

Comprehensive analysis of kinase inhibitor selectivity

We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.     

Aurora kinases: structure, functions and their association with cancer

Background: Aurora kinases are a recently discovered family of kinases (A, B & C) consisting of highly conserved serine\threonine protein kinases found to be involved in multiple mitotic events: regulation of spindle assembly checkpoint pathway, function of centrosomes and cytoskeleton, and cytokinesis. Aberrant expression of Aurora kinases may lead to cancer. For this reason the Aurora kinases are potential targets in the treatment of cancer. In this review we discuss the biology of these kinases: structure, function, regulation and association with cancer. Methods and Results: A literature search. Conclusion: Many of the multiple functions of mitosis are mediated by the Aurora kinases. Their aberrant expression can lead to the deregulation of cell division and cancer. For this reason, the Aurora kinases are currently one of the most interesting targets for cancer therapy. Some Aurora kinase inhibitors in the clinic have proven effectively on a wide range of tumor types. The clinical data are very encouraging and promising for development of novel class of structurally different Aurora kinase inhibitors. Hopefully the Aurora kinases will be potentially useful in drug targeted cancer treatment.     

Highly specific, bisubstrate-competitive Src inhibitors from DNA-templated macrocycles

Protein kinases are attractive therapeutic targets, but their high sequence and structural conservation complicates the development of specific inhibitors. We recently identified, in a DNA-templated macrocycle library, inhibitors with unusually high selectivity among Src-family kinases. Starting from these compounds, we developed and characterized in molecular detail potent macrocyclic inhibitors of Src kinase and its cancer-associated 'gatekeeper' mutant. We solved two cocrystal structures of macrocycles bound to Src kinase. These structures reveal the molecular basis of the combined ATP- and substrate peptide-competitive inhibitory mechanism and the remarkable kinase specificity of the compounds. The most potent compounds inhibit Src activity in cultured mammalian cells. Our work establishes that macrocycles can inhibit protein kinases through a bisubstrate-competitive mechanism with high potency and exceptional specificity, reveals the precise molecular basis for their desirable properties and provides new insights into the development of Src-specific inhibitors with potential therapeutic relevance.     

Exploring sequence-structure relationships in the tyrosine kinome space: functional classification of the binding specificity mechanisms for cancer therapeutics

MOTIVATION: Evolutionary and structural conservation patterns shared by more than 500 of identified protein kinases have led to complex sequence-structure relationships of cross-reactivity for kinase inhibitors. Understanding the molecular basis of binding specificity for protein kinases family, which is the central problem in discovery of cancer therapeutics, remains challenging as the inhibitor selectivity is not readily interpreted from chemical proteomics studies, neither it is easily discernable directly from sequence or structure information. We present an integrated view of sequence-structure-binding relationships in the tyrosine kinome space in which evolutionary analysis of the kinases binding sites is combined with computational proteomics profiling of the inhibitor-protein interactions. This approach provides a functional classification of the binding specificity mechanisms for cancer agents targeting protein tyrosine kinases. RESULTS: The proposed functional classification of the kinase binding specificities explores mechanisms in which structural plasticity of the tyrosine kinases and sequence variation of the binding-site residues are linked with conformational preferences of the inhibitors in achieving effective drug binding. The molecular basis of binding specificity for tyrosine kinases may be largely driven by conformational adaptability of the inhibitors to an ensemble of structurally different conformational states of the enzyme, rather than being determined by their phylogenetic proximity in the kinome space or differences in the interactions with the variable binding-site residues. This approach provides a fruitful functional linkage between structural bioinformatics analysis and disease by unraveling the molecular basis of kinase selectivity for the prominent kinase drugs (Imatinib, Dasatinib and Erlotinib) which is consistent with structural and proteomics experiments.     

Protein kinases as drug targets in parasitic protozoa

The importance of protein kinases in cell signaling and cell cycle control has led to detailed structural and functional studies in various eukaryotes, and hence to the synthesis of specific chemical inhibitors for managing disease. Here, the current progress in applying developments from the wider protein kinase field to parasitic protozoa is reviewed. The availability of genome sequence data for several parasites has led to the identification of many protein kinases. Reverse genetics studies, including gene knockout and 'chemical genetics', can help to define the roles of the protein kinases and validate them as drug targets. In addition, screening chemical libraries with active recombinant protein kinases can identify lead compounds for drug design.     

Differences in the Binding Affinities of ErbB Family: Heterogeneity in the Prediction of Resistance Mutants

The pressure exerted by drugs targeted to a protein in any therapy inevitably leads to the emergence of drug resistance. One major mechanism of resistance involves the mutation of key residues in the target protein. Drugs that competitively replace a natural substrate are often made ineffective by mutations that reduce the drug’s affinity relative to that of the natural substrate. Hence atomic level understanding of the mechanisms that underlie this behavior is of utmost importance in efforts to design new drugs that can target such mutant proteins. Methods that can predict these mutations before they appear in clinic would be a major advance in the selection of the appropriate treatment strategy in patients. The present computational approach aims to model this emergence in EGFR and ErbB2 after treatment with the drug lapatinib, by investigating the structural, dynamic and energetic effects on these kinases when bound to the natural substrate ATP and to lapatinib. The study reveals binding modes and subpopulations that are presumably normally cryptic and these have been analyzed extensively here with respect to sites that are predicted to be hotspots for resisting mutations. These positions are compared in the context of currently available data from laboratory-based experiments and mechanistic details, at the atomistic level, of the origin of resistance are developed. The prediction of novel mutations, if validated by their emergence in the clinic, will make these methods as a powerful predictive tool which can be used in the design of new kinase inhibitors.     

Imprint of evolutionary conservation and protein structure variation on the binding function of protein tyrosine kinases

MOTIVATION: 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.     

Evaluation of protein kinase activities of cell lysates using peptide microarrays based on surface plasmon resonance imaging

We developed a peptide microarray based on surface plasmon resonance (SPR) imaging for monitoring protein kinase activities in cell lysates. The substrate peptides of kinases were tethered to the microarray surface modified with a self-assembled monolayer of an alkanethiol with triethylene glycol terminus to create a low nonspecific binding surface. The phosphorylation of the substrate peptides immobilized on the surface was detected with the following phosphate specific binders by amplifying SPR signals: anti-phosphotyrosine antibody for tyrosine kinases and Phos-tag biotin (a phosphate-specific ligand with biotin tag) for serine/threonine kinases. Using the microarray, 9 kinds of protein kinases were evaluated as a pattern of phosphorylation of 26 kinds of substrate peptides. The pattern was unique for each protein kinase. The microarray could be used to evaluate the inhibitory activities of kinase inhibitors. The microarray was applied successfully for kinase activity monitoring of cell lysates. The chemical stimuli responsive activity changes of protein kinases in cell lysates could also be monitored by the peptide microarray. Thus, the peptide microarray based on SPR imaging would be applicable to cell-based drug discovery, diagnosis using tissue lysates, and biochemical studies to reveal signal transduction pathways.     

Polo and Aurora kinases: lessons derived from chemical biology

During the cell division cycle, mitotic entry, spindle assembly, chromosome segregation, and cytokinesis must all be carefully coordinated to ensure that the two daughter cells inherit all the genetic material required for further growth and development. Central to this coordination are several protein kinases including Aurora A, Aurora B, and the Polo-like kinase, Plk1. A number of small-molecule Aurora and Plk1 inhibitors have been developed because these kinases are seen as attractive anticancer drug targets. These inhibitors are now being widely used as chemical biology tools to understand how these kinases ensure faithful genome transmission.     

Different roles of the IGF-I Ec peptide (MGF) and mature IGF-I in myoblast proliferation and differentiation

The identification of relevant protein kinase–protein substrate partners remains a serious challenge on a genome-wide scale. The design and synthesis of a photo-activatable nucleotide reagent to crosslink protein kinases with their substrates is described in which an azido group is appended to the γ-phosphoryl and purine moieties of ATP. In the absence of UV, compounds of this class were shown to act as competitive inhibitors versus ATP and non-competitive inhibitors versus peptide substrate for the protein tyrosine kinase Csk, suggesting that they can form a ternary complex with kinase and protein substrate. In vitro experiments with protein kinases indicate the bifunctional reagent can induce covalent protein–protein crosslinking that is dependent on UV irradiation. That significant kinase–substrate crosslinking occurs is suggested by the fact that this crosslinking is competitively inhibited by ATP. The crosslinked adducts can be readily cleaved by phosphodiesterase which supports the model for crosslinking and provides a simple method to deconvolute the linked protein partners.     

Evolutionary variation and adaptation in a conserved protein kinase allosteric network: Implications for inhibitor design

The activation of protein kinases involves conformational changes in key functional regions of the kinase domain, a detailed understanding of which is essential for the design of selective protein kinase inhibitors. Through statistical analysis of protein kinase sequences and crystal structures from diverse organisms, we recently proposed that the activation of protein kinases involves a hidden strain switch in the catalytic loop. Specifically, we demonstrated that the backbone torsion-angles of residues in the catalytic loop switch from a “relaxed” to “strained” conformation upon kinase activation and the strained geometry results in a network of hydrogen bonds involving conserved non-catalytic residues in the ATP and substrate binding lobes. Here, we further explore this activation mechanism by analyzing families that lack the canonical hydrogen bonding interactions with the strained backbone. We find that alternative mechanisms have evolved to maintain catalytic loop strain. In PIM kinase, for example, two water molecules account for the lack of a conserved aspartate in the substrate binding by hydrogen bonds to the strained backbone. We discuss the relevance of these findings in the design of family-specific allosteric inhibitors, and in predicting the structural and functional impact of cancer mutations that alter the strain associated hydrogen bonding network. This article is part of a Special Issue entitled: Inhibitors of Protein Kinases (2012).     

Aminoimidazo[1,2-a]pyridines as a new structural class of cyclin-dependent kinase inhibitors. Part 1: Design, synthesis, and biological evaluation

We have identified a novel structural class of protein serine/threonine kinase inhibitors comprised of an aminoimidazo[1,2-a]pyridine nucleus. Compounds from this family are shown to potently inhibit cyclin-dependent kinases by competing with ATP for binding to a catalytic subunit of the protein. Structure-based design approach was used to direct this chemical scaffold toward generating potent and selective CDK2 inhibitors. The discovery of this new class of ATP-site directed protein kinase inhibitors, aminoimidazo[1,2-a]pyridines, provides the basis of new medicinal chemistry tool in search for an effective treatment of cancer and other diseases that involve protein kinase signaling pathways.     

Tyrosine kinase inhibition: Ligand binding and conformational change in c-Kit and c-Abl

The conformational flexibility exhibited by protein kinases poses an enormous challenge to the design of cancer therapeutics. Additionally the high degree of structural conservation within the kinase superfamily often leads to inhibitors that exhibit little selectivity and substantial cross reactivity. This work investigates the conformational changes that accompany the binding of Gleevec, or imatinib mesylate, to the tyrosine kinases c-Kit and c-Abl. Our analysis is that this fit is driven, at least in part, by the need to exclude water from solvent-exposed backbone hydrogen bonds. Both experimental and molecular modeling studies of the active state inhibitor of the tyrosine kinase c-Abl indicate that solvent exclusion also plays a role in this system.     

Bioinformatic prediction and analysis of eukaryotic protein kinases in the rat genome

Eukaryotic protein kinases, containing a conserved catalytic domain, represent one of the largest superfamilies of the eukaryotic proteins and play distinct roles in cell signaling and diseases. Near completion of rat genome sequencing project enables the evaluation of a near complete set of rat protein kinases. Publicly accessible genetic sequence databases were searched for rat protein kinases, and 515 eukaryotic protein kinases, 40 atypical protein kinases and 45 kinase pseudogenes were identified. The rat has 509 putative protein kinases orthologous to human kinases. Unlike microtubule affinity-regulating kinases, the rat has a few more kinases, in addition to the orthologous pairs of mouse kinases. The comparison of 11 different eukaryotic species revealed the evolutionary conservation of this diverse family of proteins. The evolutionary rate studies of human disease and non-disease associated kinases suggested that relatively uniform selective pressures have been applied to these kinase classes. This bioinformatic study of the rat protein kinases provides a suitable framework for further characterization of the functional and structural properties of these protein kinases.