Structural determinants of substrate selection by the human insulin-receptor protein-tyrosine kinase

Combining SAMDI Mass Spectrometry and Peptide Arrays to Profile Phosphatase Activities

Phosphatases, the enzymes responsible for dephosphorylating proteins, play critical roles in many cellular processes. While their importance is widely recognized, phosphatase activity and regulation remain poorly understood. Currently, there are few assays available that are capable of directly measuring phosphatase activity and specificity. We have previously introduced SAMDI (self-assembled monolayers on gold for matrix-assisted laser desorption/ionization) mass spectrometry as a technique to profile the substrate specificities of enzymes. SAMDI mass spectrometry assays are well suited to examine phosphatase activities and offer many advantages over current methods. This technique uses monolayers that terminate with a peptide or molecular enzyme substrate and allows for enzyme reactions to be performed on a surface that can easily be rinsed and analyzed by mass spectrometry without the need for analyte labeling. In this chapter, we describe the process of combining SAMDI mass spectrometry with peptide arrays to study the substrate specificities of two protein tyrosine phosphatases.

Graphlet kernels for prediction of functional residues in protein structures

We introduce a novel graph-based kernel method for annotating functional residues in protein structures. A structure is first modeled as a protein contact graph, where nodes correspond to residues and edges connect spatially neighboring residues. Each vertex in the graph is then represented as a vector of counts of labeled non-isomorphic subgraphs (graphlets), centered on the vertex of interest. A similarity measure between two vertices is expressed as the inner product of their respective count vectors and is used in a supervised learning framework to classify protein residues. We evaluated our method on two function prediction problems: identification of catalytic residues in proteins, which is a well-studied problem suitable for benchmarking, and a much less explored problem of predicting phosphorylation sites in protein structures. The performance of the graphlet kernel approach was then compared against two alternative methods, a sequence-based predictor and our implementation of the FEATURE framework. On both tasks, the graphlet kernel performed favorably; however, the margin of difference was considerably higher on the problem of phosphorylation site prediction. While there is data that phosphorylation sites are preferentially positioned in intrinsically disordered regions, we provide evidence that for the sites that are located in structured regions, neither the surface accessibility alone nor the averaged measures calculated from the residue microenvironments utilized by FEATURE were sufficient to achieve high accuracy. The key benefit of the graphlet representation is its ability to capture neighborhood similarities in protein structures via enumerating the patterns of local connectivity in the corresponding labeled graphs.

Conformational changes in protein loops and helices induced by post-translational phosphorylation

Post-translational phosphorylation is a ubiquitous mechanism for modulating protein activity and protein-protein interactions. In this work, we examine how phosphorylation can modulate the conformation of a protein by changing the energy landscape. We present a molecular mechanics method in which we phosphorylate proteins in silico and then predict how the conformation of the protein will change in response to phosphorylation. We apply this method to a test set comprised of proteins with both phosphorylated and non-phosphorylated crystal structures, and demonstrate that it is possible to predict localized phosphorylation-induced conformational changes, or the absence of conformational changes, with near-atomic accuracy in most cases. Examples of proteins used for testing our methods include kinases and prokaryotic response regulators. Through a detailed case study of cyclin-dependent kinase 2, we also illustrate how the computational methods can be used to provide new understanding of how phosphorylation drives conformational change, why substituting Glu or Asp for a phosphorylated amino acid does not always mimic the effects of phosphorylation, and how a phosphatase can “capture” a phosphorylated amino acid. This work illustrates how computational methods can be used to elucidate principles and mechanisms of post-translational phosphorylation, which can ultimately help to bridge the gap between the number of known sites of phosphorylation and the number of structures of phosphorylated proteins.

Many proteins are chemically modified after they are synthesized in the cell. These post-translational modifications can modulate the ability of a protein to perform chemical reactions and to interact with other proteins. At the cellular level, for example, these chemical modifications are critical for allowing the cell to respond to its environment and control its division. One of the most common mechanisms by which proteins can be modified is by phosphorylation—the addition of a phosphate group to an amino acid side chain of the protein. Thousands of proteins are known to be modified by phosphorylation, but only for a small minority of these do we have any detailed understanding of how the chemical modification regulates the function of the protein. The authors describe a computational method that can make testable predictions about the structural changes that occur in a protein induced by post-translational phosphorylation. Their results show that the method can produce structural models of the phosphorylated proteins with near-atomic accuracy, and provide insight into the energetics of conformational switches driven by phosphorylation. As such, the computational method complements experiments aimed at understanding the mechanisms of protein regulation by phosphorylation.

A tyrosine kinase assay using reverse-phase high-performance liquid chromatography

Reverse-phase HPLC can be used as a very precise and accurate routine assay for peptide phosphorylation by protein kinases that has advantages over other methods. In particular, peptides with native amino acid sequences can be used without the need for radioisotopes. However, reaction conditions that are employed can often present difficulties in recovery and quantitation of phospho- and apo-peptides. Two general problems were encountered; First, variation in the retention times of peptides and an increasing width of the injection front which can interfere with quantitation both resulted from repeated sample injections. These were caused mostly by the presence of carrier bovine serum albumin used to reduce loss of peptides during the reaction and by high concentrations of ATP used to study the kinetics of enzyme catalyzed reactions. These problems were solved by regular washing of the reverse-phase column, thus allowing a broad range of peptide and ATP concentrations to be used. Second, the stability of peptides used in the assay was affected by dithiothreitol in combination with manganese. The former is a common reagent of kinase purifications and the latter is often the metal cofactor used in kinase reactions. Minimizing the concentration of dithiothreitol or using magnesium resolved these difficulties. Consideration of these factors is therefore important when using reverse-phase HPLC to monitor peptide phosphorylation in protein tyrosine kinase assays.

Conformational effects of serine phosphorylation in phospholamban peptides

We have employed one- and two-dimensional 1H-NMR spectroscopy to study the effects of serine phosphorylation on peptide conformations, using cardiac phospholamban as a model system. The non-phosphorylated phospholamban 1-20 peptide has few restraints on the conformations available to it in aqueous solution. Phosphorylation at Ser16 results in greater constraints being placed on the region encompassing Arg14-Thr17, particularly at neutral pH when the phosphate group is in the di-anionic form. These conformational restrictions arise from specific interactions between the side-chain of Arg14 and the phosphate group. While substitution of phosphothreonine at position 16 causes generally similar effects to phosphoserine, aspartic acid has little effect. The results are compared with phosphorylation effects in other systems, including cardiac troponin I.

Sequential phosphorylation of adjacent serine residues on the N-terminal region of cardiac troponin-I: structure-activity implications of ordered phosphorylation

We have used NMR spectroscopy to monitor the phosphorylation of a peptide corresponding to the N-terminal region of human cardiac troponin-I (residues 17-30), encompassing the two adjacent serine residues of the dual phosphorylation site. An ordered incorporation of phosphate catalysed by PKA was observed, with phosphorylation of Ser-24 preceding that of Ser-23. Diphosphorylation induced a conformational transition in this region, involving the specific association of the Arg-22 and Ser-24P side-chains, and maximally stabilised when both phosphoserines were in the di-anionic form. The results suggest that the second phosphorylation at Ser-23 of cardiac troponin-I is of particular significance in the mechanism by which adrenaline regulates the calcium sensitivity of the myofibrillar actomyosin Mg-ATPase.