943 resultados para Peptide secondary structure


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The role of receptor activity modifying protein 1 (RAMP1) in forming receptors with the calcitonin receptor-like receptor (CLR) and the calcitonin receptor (CTR) was examined by producing chimeras between RAMP1 and RAMP3. RAMPs have three extracellular helices. Exchange of helix 1 of the RAMPs or residues 62-69 in helix 2 greatly reduced CLR trafficking (a marker for CLR association). Modeling suggests that these exchanges alter the CLR recognition site on RAMP1, which is more exposed than on RAMP3. Exchange of residues 86-89 of RAMP1 had no effect on the trafficking of CLR but reduced the potency of human (h) alphaCGRP and adrenomedullin. However, these alterations to RAMP1 had no effect on the potency of hbetaCGRP. These residues of RAMP1 lie at the junction of helix 3 and its connecting loop with helix 2. Modeling suggests that the loop is more exposed in RAMP1 than RAMP3; it may play an important role in peptide binding, either directly or indirectly. Exchange of residues 90-94 of RAMP1 caused a modest reduction in CLR expression and a 15-fold decrease in CGRP potency. It is unlikely that the decrease in expression is enough to explain the reduction in potency, and so these may have dual roles in recognizing CLR and CGRP. For CTR, only 6 out of 26 chimeras covering the extracellular part of RAMP1 did not reduce agonist potency. Thus the association of CTR with RAMP1 seems more sensitive to changes in RAMP1 structure induced by the chimeras than is CLR.

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A study has been made of the coalescence of secondary dispersions in beds of woven meshes. The variables investigated were superficial velocity, bed depth, mesh geometry and fibre material; the effects of presoaking the bed in the dispersed phase before operation were also considered. Equipment was design~d to generate a 0.1% phase ratio toluene in water dispersion whose mean drop size was determined using a Coulter Counter. The coalesced drops were sized by photography and a novel holographic technique was developed to evaluate the mean diameter of the effluent secondary drops. Previous models describing single phase flow in porous media are reviewed and it was found that the experimental data obtained in this study is best represented by Keller's equation which is based on a physical model similar to the internal structure of the meshes. Statistical analysis of two phase data produced a correlation, for each mesh tested, relating the pressure drop to superficial velocity and bed depth. The flow parameter evaluated from the single phase model is incorporated into a theoretical comparison of drop capture mechanisms which indicated that direct and indirect interception are predominant. The resulting equation for drop capture efficiericy is used to predict the initial, local drop capture rate in a coalescer. A mathematical description of the saturation profiles was formulated and verified by average saturation data. Based 6n the Blake-Kozeny equation, an expression is derived analytically to predict the two phase pressure drop using the parameters which characterise the saturation profiles. By specifying the local saturation at the inlet face for a given velocity, good agreement between experimental pressure drop data and the model predictions was obtained.

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Cell adhesion peptide regulates various cellular functions like proliferation, attachment, and spreading. The cellular response to laminin peptide (PPFLMLLKGSTR), a motif of laminin-5 alpha3 chain, tethered to type I collagen, crosslinked using microbial transglutaminase (mTGase) was investigated. mTGase is an enzyme that initiates crosslinking by reacting with the glutamine and lysine residues on the collagen fibers stabilizing the molecular structure. In this study that tethering of the laminin peptide in a mTGase crosslinked collagen scaffold enhanced cell proliferation and attachment. Laminin peptide tethered crosslinked scaffold showed unaltered cell morphology of 3T3 fibroblasts when compared with collagen and crosslinked scaffold. The triple helical structure of collagen remained unaltered by the addition of laminin peptide. In addition a dose-dependent affinity of the laminin peptide towards collagen was seen. The degree of crosslinking was measured by amino acid analysis, differential scanning calorimeter and fourier transform infrared spectroscopy. Increased crosslinking was observed in mTGase crosslinked group. mTGase crosslinking showed higher shrinkage temperature. There was alteration in the fibrillar architecture due to the crosslinking activity of mTGase. Hence, the use of enzyme-mediated linking shows promise in tethering cell adhesive peptides through biodegradable scaffolds.

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AIDS (Acquired Immune Deficiency Syndrome)was first, described as a new disease of humans in 1981. The origins of the disease are controversial. AIDS is caused by a retrovirus, a type of virus which rarely attacks human cells. The first virus of this type recorded in humans is reponsible for a type of leukaemia and was identified in 1978. AIDS is thus the third type of human retrovirus to be discovered and hence, is referred to as T-lymphotrophic virus III (HTLV-III). For viruses to replicate, they have to invade a host cell which in this case is a T4-lymphocyte, a type of white blood cell that regulates the immune system. The problems of the disease result directly from the death of these cells. As a consequence, the immune system is compromised leading to a number of opportunistic secondary infections and other disorders.

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MHC class II proteins bind oligopeptide fragments derived from proteolysis of pathogen antigens, presenting them at the cell surface for recognition by CD4+ T cells. Human MHC class II alleles are grouped into three loci: HLA-DP, HLA-DQ and HLA-DR. In contrast to HLA-DR and HLA-DQ, HLA-DP proteins have not been studied extensively, as they have been viewed as less important in immune responses than DRs and DQs. However, it is now known that HLA-DP alleles are associated with many autoimmune diseases. Quite recently, the X-ray structure of the HLA-DP2 molecule (DPA*0103, DPB1*0201) in complex with a self-peptide derived from the HLA-DR a-chain has been determined. In the present study, we applied a validated molecular docking protocol to a library of 247 modelled peptide-DP2 complexes, seeking to assess the contribution made by each of the 20 naturally occurred amino acids at each of the nine binding core peptide positions and the four flanking residues (two on both sides).

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The aims of this study were to examine the binding characteristics of the rat CGRP receptor and to further the classification of CGRP and amylin receptors in guinea-pig tissue preparations. Binding characteristics of CGRP were investigated on rat splenic, cerebellar and liver membrane preparations. Human-α-CGRP, rat-α-CGRP and the CGRP receptor analogues Tyrº -CGRPC28-37) and [Cys (ACM)2,7 ]-human CGRP and the CGRP receptor antagonist CGRPC8-37) were utilised in competitive radioligand binding experiments to identify possible CGRP receptor subtypes in these tissues. There appeared to be no significant differences between the rat CGRP receptors examined. A panel of monoclonal antibodies (Mabs) raised against CGRP were employed to investigate the structure-activity relationships of CGRP and its receptor. No differences between the tissue receptors were observed using this panel of Mabs. The effects of human-α, human-β, rat-α-CGRP, human and rat amylin and adrenomedullin(13-52) were examined on the spontaneously beating right atria and on electrically evoked twitch contractions of isolated guinea-pig ileum, vas deferens and left atria. All of the peptides caused concentration-dependent inhibition of twitch amplitude in the ileum and vas deferens. CGRP produced positive inotropic effects in the right and left atria and positive chronotropic effects in the right atria. A variety of CGRP receptor antagonists and putative amylin receptor antagonists were used to antagonise these effects. CGRP(8-37) is currently used as a basis for CGRP receptor classification (Dennis, et al., 1989). Based upon results obtained using CGRP(8-37) it has been shown that the guinea-pig ileum contains mainly CGRP 1 receptors and the vas deferens contain CGRP2 receptors. Amylin was shown to act at receptors distinct from those for CGRP and it is postulated that amylin has its own receptors in these preparations. Experiments using CGRP (19-37) and Tyrº -CGRP(28-37) indicate that human and rat CGRP act at distinct receptors in guinea-pig ileum and vas deferens. The amylin receptor antagonist amylin(8-37) and the putative antagonist AC187 provide evidence to suggest human and rat amylin also act at receptors able to distinguish between the two types of amylin.

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The calcitonin-gene- related peptide (CGRP) receptor is unique among G-protein coupled receptors (GPCRs) as it consists of at least three proteins: calcitonin receptor like receptor (CLR), receptor activity modifying protein (RAMP)1 and receptor component protein (RCP). An endogenous agonist for this curious receptor is aCGRP, which is a sensory nerve-derived peptide made up of 37 amino acids. aCGRP acts as a potent vasodilator having pronounced effects on arterioles and capillaries. Understanding the pharmacodynamics of the CGRP receptor may have pharmaceutical benefit as the receptor has been associated with the onset of migraines and implicated in Raynauds syndrome. The primary aim of this thesis was to identify functionally important residues in the extracellular face of the CGRP receptor. Three areas of interest were selected including the extreme N-terminus of the CLR, extracellular loop 1 (ECL1) of the CLR and its associated transmembrane (TM) regions, and finally extracellular loop 3 (ECL3) of the CLR and its juxtamembrane regions. A site-directed mutagenesis (SDM) strategy was used to investigate these regions, primarily substituting the innate residues of CLR with alanine and assessing the mutation on multiple criteria including a functional cAMP assay, cell-surface expression, total expression, agonist-mediated internalisation and aCGRP binding. The results are interpreted and discussed taking into consideration contemporary concepts surrounding Secretin-like GPCRs. Moreover, the thesis also contains details of RAMP purification. Overall the thesis provides novel data that furthers insight into the complex phenomenon of CGRP receptor activation. Site-directed mutants have been identified that affect aCGRP binding, receptor signal transduction, the CLR/RAMP1 interface and the integrity of the protein complex structure.

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Epitopes mediated by T cells lie at the heart of the adaptive immune response and form the essential nucleus of anti-tumour peptide or epitope-based vaccines. Antigenic T cell epitopes are mediated by major histocompatibility complex (MHC) molecules, which present them to T cell receptors. Calculating the affinity between a given MHC molecule and an antigenic peptide using experimental approaches is both difficult and time consuming, thus various computational methods have been developed for this purpose. A server has been developed to allow a structural approach to the problem by generating specific MHC:peptide complex structures and providing configuration files to run molecular modelling simulations upon them. A system has been produced which allows the automated construction of MHC:peptide structure files and the corresponding configuration files required to execute a molecular dynamics simulation using NAMD. The system has been made available through a web-based front end and stand-alone scripts. Previous attempts at structural prediction of MHC:peptide affinity have been limited due to the paucity of structures and the computational expense in running large scale molecular dynamics simulations. The MHCsim server (http://igrid-ext.cryst.bbk.ac.uk/MHCsim) allows the user to rapidly generate any desired MHC:peptide complex and will facilitate molecular modelling simulation of MHC complexes on an unprecedented scale.

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Modelling class B G-protein-coupled receptors (GPCRs) using class A GPCR structural templates is difficult due to lack of homology. The plant GPCR, GCR1, has homology to both class A and class B GPCRs. We have used this to generate a class A-class B alignment, and by incorporating maximum lagged correlation of entropy and hydrophobicity into a consensus score, we have been able to align receptor transmembrane regions. We have applied this analysis to generate active and inactive homology models of the class B calcitonin gene-related peptide (CGRP) receptor, and have supported it with site-directed mutagenesis data using 122 CGRP receptor residues and 144 published mutagenesis results on other class B GPCRs. The variation of sequence variability with structure, the analysis of polarity violations, the alignment of group-conserved residues and the mutagenesis results at 27 key positions were particularly informative in distinguishing between the proposed and plausible alternative alignments. Furthermore, we have been able to associate the key molecular features of the class B GPCR signalling machinery with their class A counterparts for the first time. These include the [K/R]KLH motif in intracellular loop 1, [I/L]xxxL and KxxK at the intracellular end of TM5 and TM6, the NPXXY/VAVLY motif on TM7 and small group-conserved residues in TM1, TM2, TM3 and TM7. The equivalent of the class A DRY motif is proposed to involve Arg(2.39), His(2.43) and Glu(3.46), which makes a polar lock with T(6.37). These alignments and models provide useful tools for understanding class B GPCR function.

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The calcitonin gene-related peptide (CGRP) receptor is an unusual G protein-coupled receptor (GPCR) in that it comprises the calcitonin receptor-like receptor (CLR), receptor activity modifying protein 1 (RAMP1) and the receptor component protein (RCP). The RAMP1 has two other homologues – RAMP2 and RAMP3. The endogenous ligand for this receptor is CGRP, a 37 amino acid neuropeptide that act as a vasodilator. This peptide has been implicated in the aetiology of health conditions such as inflammation, Reynaud’s disease and migraine. A clear understanding of the mode of activation of this receptor could be key in developing therapeutic agents for associated health conditions. Although the crystal structure of the N-terminal extracellular domain (ECD) of this receptor (in complex with an antagonist) has been published, the details of receptor-agonist interactions at this domain, and so ultimately the mechanism of receptor activation, are still unclear. Also, the C-terminus of the CLR (in the CGRP receptor), especially around the presumed helix 8 (H8) region, has not been well studied for its role in receptor signalling. This research project investigated these questions. In this study, certain residues making up the putative N-terminal ligand-binding core of the CLR (in the CGRP receptor) were mapped out and found to be crucial for receptor signalling. They included W69 and D70 of the WDG motif in family B GPCRs, as well as Y91, F92, D94 and F95 in loop 2 of CLR N-terminus. Also, F163 at the cytoplasmic end of TM1 and certain residues spanning H8 and associated C-terminal region of CLR were found to be required for CGRP receptor signalling. These residues were investigated by site-directed mutagenesis where they were mutated to alanine (or other residues in specific cases) and the effect of the mutations on receptor pharmacology assessed by evaluating cAMP production, cell surface expression, total cell expression and aCGRP-mediated receptor internalization. Moreover, the N-terminal ECDs of the CLR and RAMPs (RAMP1, RAMP2 and RAMP3) were produced in a yeast host strain (Pichia pastoris) for the purpose of structural interaction study by surface plasmon resonance (SPR). Following expression and purification, these receptor proteins were found to individually retain their secondary structures when analysed by circular dichroism (CD). Results were analysed and interpreted with the knowledge of the secretin family receptor paradigm. The research described in this thesis has produced novel data that contributes to a clearer understanding of CGRP receptor pharmacology. The study on CLR and RAMPs ECDs could be a useful tool in determining novel interacting GPCR partners of RAMPs.

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Peptides are of great therapeutic potential as vaccines and drugs. Knowledge of physicochemical descriptors, including the partition coefficient P (commonly expressed in logarithm form: logP), is useful for screening out unsuitable molecules and also for the development of predictive Quantitative Structure-Activity Relationships (QSARs). In this paper we develop a new approach to the prediction of LogP values for peptides based on an empirical relationship between global molecular properties and measured physical properties. Our method was successful in terms of peptide prediction (total r2 = 0.641). The final model consisted of 5 physicochemical descriptors (molecular weight, number of single bonds, 2D-VDW volume, 2D-VSA hydrophobic and 2D-VSA polar). The approach is peptide specific and its predictive accuracy was high. Overall, 67% of the peptides were able to be predicted within +/-0.5 log units from the experimental values. Our method thus represents a novel prediction method with proven predictive ability.

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Peptides are of great therapeutic potential as vaccines and drugs. Knowledge of physicochemical descriptors, including the partition coefficient logP, is useful for the development of predictive Quantitative Structure-Activity Relationships (QSARs). We have investigated the accuracy of available programs for the prediction of logP values for peptides with known experimental values obtained from the literature. Eight prediction programs were tested, of which seven programs were fragment-based methods: XLogP, LogKow, PLogP, ACDLogP, AlogP, Interactive Analysis's LogP and MlogP; and one program used a whole molecule approach: QikProp. The predictive accuracy of the programs was assessed using r(2) values, with ALogP being the most effective (r( 2) = 0.822) and MLogP the least (r(2) = 0.090). We also examined three distinct types of peptide structure: blocked, unblocked, and cyclic. For each study (all peptides, blocked, unblocked and cyclic peptides) the performance of programs rated from best to worse is as follows: all peptides - ALogP, QikProp, PLogP, XLogP, IALogP, LogKow, ACDLogP, and MlogP; blocked peptides - PLogP, XLogP, ACDLogP, IALogP, LogKow, QikProp, ALogP, and MLogP; unblocked peptides - QikProp, IALogP, ALogP, ACDLogP, MLogP, XLogP, LogKow and PLogP; cyclic peptides - LogKow, ALogP, XLogP, MLogP, QikProp, ACDLogP, IALogP. In summary, all programs gave better predictions for blocked peptides, while, in general, logP values for cyclic peptides were under-predicted and those of unblocked peptides were over-predicted.

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The underlying assumption in quantitative structure–activity relationship (QSAR) methodology is that related chemical structures exhibit related biological activities. We review here two QSAR methods in terms of their applicability for human MHC supermotif definition. Supermotifs are motifs that characterise binding to more than one allele. Supermotif definition is the initial in silico step of epitope-based vaccine design. The first QSAR method we review here—the additive method—is based on the assumption that the binding affinity of a peptide depends on contributions from both amino acids and the interactions between them. The second method is a 3D-QSAR method: comparative molecular similarity indices analysis (CoMSIA). Both methods were applied to 771 peptides binding to 9 HLA alleles. Five of the alleles (A*0201, A* 0202, A*0203, A*0206 and A*6802) belong to the HLA-A2 superfamily and the other four (A*0301, A*1101, A*3101 and A*6801) to the HLA-A3 superfamily. For each superfamily, supermotifs defined by the two QSAR methods agree closely and are supported by many experimental data.

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Large-scale massively parallel molecular dynamics (MD) simulations of the human class I major histo-compatibility complex (MHC) protein HLA-A*0201 bound to a decameric tumor-specific antigenic peptide GVY-DGREHTV were performed using a scalable MD code on high-performance computing platforms. Such computational capabilities put us in reach of simulations of various scales and complexities. The supercomputing resources available Large-scale massively parallel molecular dynamics (MD) simulations of the human class I major histocompatibility complex (MHC) protein HLA-A*0201 bound to a decameric tumor-specific antigenic peptide GVYDGREHTV were performed using a scalable MD code on high-performance computing platforms. Such computational capabilities put us in reach of simulations of various scales and complexities. The supercomputing resources available for this study allow us to compare directly differences in the behavior of very large molecular models; in this case, the entire extracellular portion of the peptide–MHC complex vs. the isolated peptide binding domain. Comparison of the results from the partial and the whole system simulations indicates that the peptide is less tightly bound in the partial system than in the whole system. From a detailed study of conformations, solvent-accessible surface area, the nature of the water network structure, and the binding energies, we conclude that, when considering the conformation of the α1–α2 domain, the α3 and β2m domains cannot be neglected. © 2004 Wiley Periodicals, Inc. J Comput Chem 25: 1803–1813, 2004

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The ability to define and manipulate the interaction of peptides with MHC molecules has immense immunological utility, with applications in epitope identification, vaccine design, and immunomodulation. However, the methods currently available for prediction of peptide-MHC binding are far from ideal. We recently described the application of a bioinformatic prediction method based on quantitative structure-affinity relationship methods to peptide-MHC binding. In this study we demonstrate the predictivity and utility of this approach. We determined the binding affinities of a set of 90 nonamer peptides for the MHC class I allele HLA-A*0201 using an in-house, FACS-based, MHC stabilization assay, and from these data we derived an additive quantitative structure-affinity relationship model for peptide interaction with the HLA-A*0201 molecule. Using this model we then designed a series of high affinity HLA-A2-binding peptides. Experimental analysis revealed that all these peptides showed high binding affinities to the HLA-A*0201 molecule, significantly higher than the highest previously recorded. In addition, by the use of systematic substitution at principal anchor positions 2 and 9, we showed that high binding peptides are tolerant to a wide range of nonpreferred amino acids. Our results support a model in which the affinity of peptide binding to MHC is determined by the interactions of amino acids at multiple positions with the MHC molecule and may be enhanced by enthalpic cooperativity between these component interactions.