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R M Jackson

Publications and source records attributed to R M Jackson.

At least 19 recordsLinked to original sources

Diversity in the SH2 domain family phosphotyrosyl peptide binding site.

Src homology 2 (SH2) domains are approximately 100 residue phosphotyrosyl peptide binding modules found in signalling proteins and are important targets for therapeutic intervention. The peptide binding site is evolutionarily well conserved, particularly at the two major binding pockets, pTyr and pTyr + 3. We present a computational analysis of diversity within the peptide binding region and discuss molecular recognition beyond the conventional binding motif, drawing attention to novel conserved ligand interaction sites which may be exploitable in ligand binding studies. The peptide binding site is defined by selecting crystal contacts and domains are clustered according to binding site residue similarity. Comparison with a classification based on experimental peptide screening reveals a high level of qualitative agreement, indicating that the method is able independently to generate functional information. A conservation scoring method reveals extensive patches of conservation in some groups not present across the whole family, challenging the notion that the domains recognise only a linear phosphopeptide sequence. Conservation difference maps determine group-dependent clusters of conserved residues that are not seen when considering a larger experimentally determined group. Many of these residues contact the peptide outside the pTyr to pTyr + 3 motif, challenging the conventional view that this motif is largely responsible for ligand recognition and discrimination.

Amino Acid Sequence↗

Predicting function from structure: examples of the serine protease inhibitor canonical loop conformation found in extracellular proteins.

The prediction of protein function from structure is becoming of growing importance in the age of structural genomics. We have focused on the problem of identifying sites of potential serine protease inhibitor interactions on the surface of proteins of known structure. Given that there is no sequence conservation within canonical loops from different inhibitor families we first compare representative loops to all fragments of equal length among proteins of known structure by calculating main-chain RMS deviation. Fragments with RMS deviation below a certain threshold (hits) are removed if residues have solvent accessibilities appreciably lower than those observed in the search structure. These remaining hits are further filtered to remove those occurring largely within secondary structure elements. Likely functional significance is restricted further by considering only extracellular protein domains. Also a test is performed to see if the loop can dock into the binding site of the serine protease trypsin without unacceptable steric clashes. By comparing different canonical loop structures to the protein structure database we show that the method was able to detect previously known inhibitors. In addition, we discuss potentially new canonical loop structures found in secreted hydrolases, toxins, viral proteins, cytokines and other proteins. We discuss the possible functional significance of several of the examples found.

Algorithms↗

Association of reactive nitrogen species metabolites, myeloperoxidase, and airway inflammation in lung transplants.

BACKGROUND: We have previously reported that patients who had single or double lung transplants had higher concentrations than controls of nitrite and nitrate, which are metabolites of reactive nitrogen species (RNS), in bronchoalveolar lavage fluid (BALF) and serum. METHODS: This study investigates implications of RNS metabolites as markers of airway inflammation in a distinct group of lung transplant patients (n = 40). All patients underwent spirometry, routine surveillance transbronchial lung biopsies, and bronchoalveolar lavage as required by clinical protocol. Four normal controls also had bronchoscopy for measurement of BALF nitrite (NO2-) and nitrate (NO3-). BALF NO2- and NO3-, myeloperoxidase (MPO), protein, and urea were assayed. Total nitrite (NO2- plus enzymatically reduced NO3-) and urea were measured in serum. RESULTS: BALF RNS metabolites were mainly NO3-. Forced expiratory volume in 1 s (FEV1) obtained near bronchoscopy was compared with best postoperative FEV1. Total nitrite in transplant patients' BALF and serum were 3.8 +/- 0.2 and 49 +/- 5 microM, respectively. Total nitrite in controls' BALF and serum were 2.2 +/- 0.7 and 19 +/- 2 microM, respectively (P < 0.05 compared with transplant values). Serum total nitrite correlated (Pearson product moment) with percentage of neutrophils in BALF (R = 0.650, P < 0.0001), MPO (R = 0.431, P = 0.0055), change in FEV1 from baseline (deltaFEV1) (R = -0348, P = 0.0298), and days after transplantation (R = 0.345, P = 0.0294). None of the associated variables, airway inflanmmation (quantified as a score, "B"), deltaFEV1, serum, or BALF total nitrite, were explained by infection. Univariate analysis of airway inflammation in patients showed that it was associated with BALF neutrophils, deltaFEV1, and serum total nitrite. CONCLUSIONS: Serum nitrite appears to reflect the degree of airway inflammation in this lung-transplant study group.

Adult↗

The serine protease inhibitor canonical loop conformation: examples found in extracellular hydrolases, toxins, cytokines and viral proteins.

Methods for the prediction of protein function from structure are of growing importance in the age of structural genomics. Here, we focus on the problem of identifying sites of potential serine protease inhibitor interactions on the surface of proteins of known structure. Given that there is no sequence conservation within canonical loops from different inhibitor families, we first compare representative loops to all fragments of equal length among proteins of known structure by calculating main-chain RMS deviation. Fragments with RMS deviation below a certain threshold (hits) are removed if residues have solvent accessibilities appreciably lower than those observed in the search structure. These remaining hits are further filtered to remove those occurring largely within secondary structure elements. Likely functional significance is restricted further by considering only extracellular protein domains. By comparing different canonical loop structures to the protein structure database, we show that the method is able to detect previously known inhibitors. In addition, we discuss potentially new canonical loop structures found in secreted hydrolases, toxins, viral proteins, cytokines and other proteins. We discuss the possible functional significance of several of the examples found, and comment on implications for the prediction of function from protein 3D structure.

Amino Acid Sequence↗

Comparison of binding energies of SrcSH2-phosphotyrosyl peptides with structure-based prediction using surface area based empirical parameterization.

The prediction of binding energies from the three-dimensional (3D) structure of a protein-ligand complex is an important goal of biophysics and structural biology. Here, we critically assess the use of empirical, solvent-accessible surface area-based calculations for the prediction of the binding of Src-SH2 domain with a series of tyrosyl phosphopeptides based on the high-affinity ligand from the hamster middle T antigen (hmT), where the residue in the pY+ 3 position has been changed. Two other peptides based on the C-terminal regulatory site of the Src protein and the platelet-derived growth factor receptor (PDGFR) are also investigated. Here, we take into account the effects of proton linkage on binding, and test five different surface area-based models that include different treatments for the contributions to conformational change and protein solvation. These differences relate to the treatment of conformational flexibility in the peptide ligand and the inclusion of proximal ordered solvent molecules in the surface area calculations. This allowed the calculation of a range of thermodynamic state functions (deltaCp, deltaS, deltaH, and deltaG) directly from structure. Comparison with the experimentally derived data shows little agreement for the interaction of SrcSH2 domain and the range of tyrosyl phosphopeptides. Furthermore, the adoption of the different models to treat conformational change and solvation has a dramatic effect on the calculated thermodynamic functions, making the predicted binding energies highly model dependent. While empirical, solvent-accessible surface area based calculations are becoming widely adopted to interpret thermodynamic data, this study highlights potential problems with application and interpretation of this type of approach. There is undoubtedly some agreement between predicted and experimentally determined thermodynamic parameters: however, the tolerance of this approach is not sufficient to make it ubiquitously applicable.

Amino Acid Sequence↗

Protein nitration, metabolites of reactive nitrogen species, and inflammation in lung allografts.

This study investigated nitration and chlorination of epithelial lining fluid (ELF) proteins in patients (n = 29) who had undergone lung allotransplantation. We assayed lung lavage nitrotyrosine (NT) and chlorotyrosine (CT) by HPLC. We measured NT, nitrate (NO(3)(-)), and nitrate (NO(2)(-)) in bronchoalveolar lavage fluid (BALF) and total nitrite (NO(2)(-) + NO(3)(-)) in serum of another group of lung transplant patients (n = 82). In the first group (n = 29), percent nitration of tyrosines (Tyr) (NT/total Tyr x 100) in BALF proteins was: patients, 0.01 (0.00-0.12)%; median (25th-75th% confidence interval), and control subjects 0.01 (0.00-0.02)%. CT (CT/ total Tyr x 100) occurred only in the patients' BALF: 0.01 (0. 00- 0.02)%. In the second group (n = 82), nitrotyrosine (NT) was detected by ELISA in the BALF of patients: 9 (0-41) pmol/mg pro and control subjects: 28 (26-33). Total nitrite (NO(2)(-) + NO(3)(-)) in BALF of the patients: 3.3 (1.9-5.1) microM significantly exceeded that in control subjects: 1.3 (0.8-1.3) microM; p = 0.0133. Serum nitrite also was significantly higher in patients: 37 (26-55) microM than control subjects: 19 (17-20) microM; p = 0.0037. Airway inflammation in transbronchial biopsies (B score) correlated with NT in BALF (p = 0.0369). Lung transplants have increased airway concentrations of reactive nitrogen species (RNS) metabolites. NT, a marker of peroxynitrite (ONOO(-)), is related to the degree of airway inflammation in lung transplants.

Adult↗

Comparison of protein-protein interactions in serine protease-inhibitor and antibody-antigen complexes: implications for the protein docking problem.

The protein-protein interaction energy of 12 nonhomologous serine protease-inhibitor and 15 antibody-antigen complexes is calculated using a molecular mechanics formalism and dissected in terms of the main-chain vs. side-chain contribution, nonrotameric side-chain contributions, and amino acid residue type involvement in the interface interaction. There are major differences in the interactions of the two types of protein-protein complex. Protease-inhibitor complexes interact predominantly through a main-chain-main-chain mechanism while antibody-antigen complexes interact predominantly through a side-chain-side-chain or a side-chain-main-chain mechanism. However, there is no simple correlation between the main-chain-main-chain interaction energy and the percentage of main-chain surface area buried on binding. The interaction energy is equally effected by the presence of nonrotameric side-chain conformations, which constitute approximately 20% of the interaction energy. The ability to reproduce the interface interaction energy of the crystal structure if original side-chain conformations are removed from the calculation is much greater in the protease-inhibitor complexes than the antibody-antigen complexes. The success of a rotameric model for protein-protein docking appears dependent on the extent of the main-chain-main-chain contribution to binding. Analysis of (1) residue type and (2) residue pair interactions at the interface show that antibody-antigen interactions are very restricted with over 70% of the antibody energy attributable to just six residue types (Tyr > Asp > Asn > Ser > Glu > Trp) in agreement with previous studies on residue propensity. However, it is found here that 50% of the antigen energy is attributable to just four residue types (Arg = Lys > Asn > Asp). On average just 12 residue pair interactions (6%) contribute over 40% of the favorable interaction energy in the antibody-antigen complexes, with charge-charge and charge/polar-tyrosine interactions being prominent. In contrast protease inhibitors use a diverse set of residue types and residue pair interactions.

Antigen-Antibody Complex↗

Hypoxic modulation of manganese superoxide dismutase promoter activity and gene expression in lung epithelial cells.

We investigated the effects of hypoxia (< 2.5% O2) on rat manganese superoxide dismutase (MnSOD) gene promoter-luciferase reporter constructs in transiently transfected lung epithelial cells (A549, L2, and E1A-T2) and fibroblasts (R9Ab). We cloned MnSOD promoter-luciferase reporter constructs (numbers refer to length in base pairs [bp] in the 5' direction from the transcription initiation site): 2,505, 1,064, 507, 405, and 289 into pGL2-Basic, a promoterless, firefly luciferase vector. Lung cells were transfected with MnSOD promoter-reporter constructs with or without thymidine kinase-driven Renilla luciferase (pRL-TK), and were exposed to air/5% CO2 or hypoxia (2.5% O2/5% CO2/balance N2) for 24 h. Hypoxia caused a significant (by two-way analysis of variance) consistent increase in luciferase in the A549 cell (human lung carcinoma) line. Greatest expression (> 3-fold increase) in hypoxia was associated with the 2,505-bp MnSOD promoter (normalized to cellular protein). Azide (10 microM) did not increase expression of the MnSOD reporter constructs. The 289-bp promoter was sufficient to express the reporter in air and to increase its expression in hypoxia. Promoter activity of the rat MnSOD 5' region, assessed by luciferase reporter constructs in A549 cells, increased in hypoxia. The increase was exclusive to A549 cells and did not occur in other cells.

Animals↗

Rapid refinement of protein interfaces incorporating solvation: application to the docking problem.

A computationally tractable strategy has been developed to refine protein-protein interfaces that models the effects of side-chain conformational change, solvation and limited rigid-body movement of the subunits. The proteins are described at the atomic level by a multiple copy representation of side-chains modelled according to a rotamer library on a fixed peptide backbone. The surrounding solvent environment is described by "soft" sphere Langevin dipoles for water that interact with the protein via electrostatic, van der Waals and field-dependent hydrophobic terms. Energy refinement is based on a two-step process in which (1) a probability-based conformational matrix of the protein side-chains is refined iteratively by a mean field method. A side-chain interacts with the protein backbone and the probability-weighted average of the surrounding protein side-chains and solvent molecules. The resultant protein conformations then undergo (2) rigid-body energy minimization to relax the protein interface. Steps (1) and (2) are repeated until convergence of the interaction energy. The influence of refinement on side-chain conformation starting from unbound conformations found improvement in the RMSD of side-chains in the interface of protease-inhibitor complexes, and shows that the method leads to an improvement in interface geometry. In terms of discriminating between docked structures, the refinement was applied to two classes of protein-protein complex: five protease-protein inhibitor and four antibody-antigen complexes. A large number of putative docked complexes have already been generated for the test systems using our rigid-body docking program, FTDOCK. They include geometries that closely resemble the crystal complex, and therefore act as a test for the refinement procedure. In the protease-inhibitors, geometries that resemble the crystal complex are ranked in the top four solutions for four out of five systems when solvation is included in the energy function, against a background of between 26 and 364 complexes in the data set. The results for the antibody-antigen complexes are not as encouraging, with only two of the four systems showing discrimination. It would appear that these results reflect the somewhat different binding mechanism dominant in the two types of protein-protein complex. Binding in the protease-inhibitors appears to be "lock and key" in nature. The fixed backbone and mobile side-chain representation provide a good model for binding. Movements in the backbone geometry of antigens on binding represent an "induced-fit" and provides more of a challenge for the model. Given the limitations of the conformational sampling, the ability of the energy function to discriminate between native and non-native states is encouraging. Development of the approach to include greater conformational sampling could lead to a more general solution to the protein docking problem.

Animals↗

Peroxynitrite modulates MnSOD gene expression in lung epithelial cells.

Peroxynitrite (ONOO-) is a strong oxidant derived from nitric oxide ('NO) and superoxide (O2.-), reactive nitrogen (RNS) and oxygen species (ROS) present in inflamed tissue. Other oxidant stresses, e.g., TNF-alpha and hyperoxia, induce mitochondrial, manganese-containing superoxide dismutase (MnSOD) gene expression. These experiments tested whether ONOO regulated MnSOD gene expression in human lung epithelial (A549) cells. 3-morpholinosydnonimine HCI (SIN-1) (10 or 1000 microM) increased MnSOD mRNA, but did not change hypoxanthine guanine phosphoribosyl transferase (HPRT) mRNA. Authentic peroxynitrite (ONOO ) (100-500 microM) also increased MnSOD mRNA but did not change constitutive HPRT mRNA expression. ONOO stimulated luciferase gene expression driven by a 2.5 kb fragment of the rat MnSOD gene 5' promoter region. MnSOD gene induction due to ONOO- was inhibited effectively by L-cysteine (10 mM) and partially inhibited by N-acetyl cysteine (50 mM) or pyrrole dithiocarbamate (10 mM). .NO from 1-propanamine, 3-(2-hydroxy-2-nitroso-1-propylhydrazine) (PAPA NONOate) (100 or 1000 microM) did not change MnSOD or HPRT mRNA. Neither H202 nor NO2-, breakdown products of SIN-1 and ONOO , had any effect on MnSOD mRNA expression; however, ONOO- and SIN-1 did not increase MnSOD protein content detectable by western blots, nor did they increase MnSOD enzymatic activity. Increased steady state [O2.-] in the presence of .NO yields ONOO , and ONOO has direct, stimulatory effects on MnSOD transcript expression.

Animals↗

Predictive docking of protein-protein and protein-DNA complexes.

Recent developments in algorithms to predict the docking of two proteins have considered both the initial rigid-body global search and subsequent screening and refinement. The result of two blind trials of protein docking are encouraging--for complexes that are not too large and do not undergo sizeable conformational change upon association, the algorithms are now able to suggest reasonably accurate models.

Algorithms↗

Haemopericardium: a rare fatal complication of attempted subclavian vein cannulation. A report of two cases.

This paper describes two otherwise unrelated cases of fatal haemopericardium resulting directly from attempted cannulation of the right subclavian vein. Although this is an extremely rare complication, it is essential that all physicians involved in establishing central venous access are aware of the danger of causing this condition, and how the use of a careful technique of insertion can minimize the risk.

Adult↗

A computational system for modelling flexible protein-protein and protein-DNA docking.

A computational system is described that predicts the structure of protein/protein and protein/DNA complexes starting from unbound coordinate sets. The approach is (i) a global search with rigid-body docking for complexes with shape complementarity and favourable electrostatics; (ii) use of distance constraints from experimental (or predicted) knowledge of critical residues; (iii) use of pair potential to screen docked complexes and (iv) refinement and further screening by protein-side chain optimisation and interfacial energy minimisation. The system has been applied to model ten protein/protein and eight protein-repressor/DNA (steps i to iii only) complexes. In general a few complexes, one of which is close to the true structure, can be generated.

Algorithms↗

Modelling protein docking using shape complementarity, electrostatics and biochemical information.

A protein docking study was performed for two classes of biomolecular complexes: six enzyme/inhibitor and four antibody/antigen. Biomolecular complexes for which crystal structures of both the complexed and uncomplexed proteins are available were used for eight of the ten test systems. Our docking experiments consist of a global search of translational and rotational space followed by refinement of the best predictions. Potential complexes are scored on the basis of shape complementarity and favourable electrostatic interactions using Fourier correlation theory. Since proteins undergo conformational changes upon binding, the scoring function must be sufficiently soft to dock unbound structures successfully. Some degree of surface overlap is tolerated to account for side-chain flexibility. Similarly for electrostatics, the interaction of the dispersed point charges of one protein with the Coulombic field of the other is measured rather than precise atomic interactions. We tested our docking protocol using the native rather than the complexed forms of the proteins to address the more scientifically interesting problem of predictive docking. In all but one of our test cases, correctly docked geometries (interface Calpha RMS deviation </=2 A from the experimental structure) are found during a global search of translational and rotational space in a list that was always less than 250 complexes and often less than 30. Varying degrees of biochemical information are still necessary to remove most of the incorrectly docked complexes.

Algorithms↗

Model building by comparison: a combination of expert knowledge and computer automation.

The CASP blinds trials (Critical Assessment of techniques for protein Structure Prediction) assess the accuracy of protein prediction that includes evaluation of comparative model building of protein structures. Comparative models of four proteins (T0001, T0003, T0017, and T0028) for CASP2 (held during 1996) were constructed using computer algorithms combined with visual inspection. Essentially the main-chain modelling involves construction of the target structure from rigid-body segments of homologues and loop fragments extracted from homologous and nonredundant databases. Side-chains were initially constructed by inheritance from the parent or from a rotamer library. Side-chain conformations were then refined using a novel mean field approach that includes solvation. Comparison of the models with the subsequently released X-ray structures identified the successes and limitations of our approach. The most problematic area is the quality of the sequence alignments between parent(s) and target. In this respect the overinterpretation of the conserved features within homologous families can be misleading. Several features of our approach have a positive effect on the accuracy of the models. For T0003, inspection correctly identified that a lower sequence identity parent provides the best framework for this model. Loop selection worked well where a homologous protein fragment was used, but that the use of nonredundant fragment library remains problematic for hinge movements and displacements in secondary structure elements relative to the parent. Side-chain refinement improved residue conformations relative to the initial model. Use of limited energy minimization improved the stereochemical quality of the model without increasing the RMS deviation. This study has identified methods that are effective and areas requiring further attention to improve model building by comparison.

Amino Acid Sequence↗