Extracellular loops 1 and 3 and their associated transmembrane regions of the calcitonin receptor-like receptor are needed for CGRP receptor function

The first and third extracellular loops (ECL) of G protein-coupled receptors (GPCRs) have been implicated in ligand binding and receptor function. This study describes the results of an alanine/leucine scan of ECLs 1 and 3 and loop-associated transmembrane (TM) domains of the secretin-like GPCR calcitonin receptor-like receptor which associates with receptor activity modifying protein 1 to form the CGRP receptor. Leu195Ala, Val198Ala and Ala199Leu at the top of TM2 all reduced aCGRP-mediated cAMP production and internalization; Leu195Ala and Ala199Leu also reduced aCGRP binding. These residues form a hydrophobic cluster within an area defined as the "minor groove" of rhodopsin-like GPCRs. Within ECL1, Ala203Leu and Ala206Leu influenced the ability of aCGRP to stimulate adenylate cyclase. In TM3, His219Ala, Leu220Ala and Leu222Ala have influences on aCGRP binding and cAMP production; they are likely to indirectly influence the binding site for aCGRP as well as having an involvement in signal transduction. On the exofacial surfaces of TMs 6 and 7, a number of residues were identified that reduced cell surface receptor expression, most noticeably Leu351Ala and Glu357Ala in TM6. The residues may contribute to the RAMP1 binding interface. Ile360Ala impaired aCGRP-mediated cAMP production. Ile360 is predicted to be located close to ECL2 and may facilitate receptor activation. Identification of several crucial functional loci gives further insight into the activation mechanism of this complex receptor system and may aid rational drug design.

Structural determinants for binding to CGRP receptors expressed by human SK-N-MC and Col 29 cells:Studies with chimeric and other peptides

1. Structure-activity relationships for the binding of human α-calcitonin gene-related peptide 8-37 (hαCGRP8-37) have been investigated at the CGRP receptors expressed by human SK-N-MC (neuroblastoma) and Col 29 (colonic epithelia) cells by radioligand binding assays and functional assays (hαCGRP stimulation of adenylate cyclase). 2. On SK-N-MC cells the potency order was hαCGRP8-37 > hαCGRP19-37 = AC187 > rat amylin8-37 > hα[Tyr0]-CGRP28-37 (apparent pKBS of 7.49 ± 0.25, 5.89 ± 0.20, 6.18 ± 0.19, 5.85 ± 0.19 and 5.25 ± 0.07). The SK-N-MC receptor appeared CGRP1-like. 3. On Col 29 cells, only hαCGRP8-37 of the above compounds was able to antagonize the actions of hαCGRP (apparent pKB = 6.48 ± 0.28). Its receptor appeared CGRP2-like. 4. hα[Ala11,18]-CGRP8-37, where the amphipathic nature of the N-terminal α-helix has been reduced, bound to SK-N-MC cells a 100 fold less strongly than hαCGRP8-37. 5. On SK-N-MC cells, hαCGRP(8-18, 28-37) (M433) and mastoparan-hαCGRP28-37 (M432) had apparent pKBS of 6.64 ± 0.16 and 6.42 ± 0.26, suggesting that residues 19-27 play a minor role in binding. The physico-chemical properties of residues 8-18 may be more important than any specific side-chain interactions. 6. M433 was almost as potent as hαCGRP8-37 on Col 29 cells (apparent pKB = 6.17 ± 0.20). Other antagonists were inactive.

Analysis of Acanthamoeba polyphaga surface carbohydrate exposure by FITC-lectin binding and flourescence evaluation

Aims: Characterization of the representative protozoan Acanthamoeba polyphaga surface carbohydrate exposure by a novel combination of flow cytometry and ligand-receptor analysis. Methods and Results: Trophozoite and cyst morphological forms were exposed to a panel of FITC-lectins. Population fluorescence associated with FITC-lectin binding to acanthamoebal surface moieties was ascertained by flow cytometry. Increasing concentrations of representative FITC-lectins, saturation binding and determination of K d and relative Bmax values were employed to characterize carbohydrate residue exposure. FITC-lectins specific for N-acetylglucosamine, N-acetylgalactosamine and mannose/glucose were readily bound by trophozoite and cyst surfaces. Minor incremental increases in FITC-lectin concentration resulted in significant differences in surface fluorescence intensity and supported the calculation of ligand-binding determinants, Kd and relative B max, which gave a trophozoite and cyst rank order of lectin affinity and surface receptor presence. Conclusions: Trophozoites and cysts expose similar surface carbohydrate residues, foremost amongst which is N-acetylglucosamine, in varying orientation and availability. Significance and Impact of the Study: The outlined versatile combination of flow cytometry and ligand-receptor analysis allowed the characterization of surface carbohydrate exposure by protozoan morphological forms and in turn will support a valid comparison of carbohydrate exposure by other single-cell protozoa and eucaryotic microbes analysed in the same manner.

Antitumour imidazotetrazines: probes for the major groove of DNA

The antitumour imidazotetrazinones are believed to act as prodrugs for the triazene series of alkylating agents, showing a marked pteference for the alkylation of the middle guanine residue in a run of three or more contiguous guanines. However, the. exact nature of the interactions of imidazotetrazinones within the micro~environment of DNA are; as yet unknown. In order to examine such interactions a three pronged approach involving molecular modelling, synthetic chemistry and biological analysis has been undertaken during the course of this project. . Molecular modelling studies have shown that for the 8-carboxamido substituted imidazotetrazinones antitumour activity is dependent upon the. presence of a free NH group which can be involved in the formation of both intramolecular and intermolecular hydrogen bonds, and the presence of a non-bulky substituent with a small negative potential . volume. Modelling studies involving the docking of .mitozolomide into the major groove of DNA in the region of a triguanine sequence has shown that a number of hydrogen bonding interactions are feasible. A series of 8-substituted carboxamide derivatives of mitozolomide have been synthesised via the 8-acid chloride and 8-carboxylic acid derivatives including a number of peptide analogues. The peptide derivatives were based upon the key structural features of the helix-turn-helix motif of DNA-binding proteins with a view to developing agents that are capable of binding to DNA with greater selectivity. An examination of the importance of intramolecular hydrogen bonding in influencing the antitumour activity:of :the imidazotetrazinones has led to the synthesis of the novel pyrimido[4',5' :4,3]pyrazolo[5,1-d]-1,2,3,5-tetrazine ring system. In general, in vitro cytotoxicity assays showed that the new derivatives were less active against the TLX5 lymphoma cell line. than the parent compound mitozolomide despite an increased potential for hydrogen bonding interactions. Due to the high reactivity of the: tetrazinone ring system it is difficult to study the interactions between the imidazotetrazinones and DNA. Consequently a number of structural analogues that are stable under physiological conditions have been. prepared based upon the 1,2,3 triazin-4(3H)-one ring system fused with both benzene and pyrazole rings. Although the 3-methylbenzotriazinones failed to antagonise the cytotoxic activity of temozolomide encouraging results with a 3-methylpyrazolotriazinone may suggest the existence of an imidazotetrazinone receptor site within DNA. The potential of guanine rich sequences to promote the alkylating selectivity of imidazotetrazinones by acting as a catalyst for ring cleavage and thereby generation of the alkylating agent was examined. Experiments involving the monitoring: of the rate of breakdown of mitozolomide incubated in the presence of synthetic oIigonucleotides did not reveal any catalytic effect resulting from the DNA. However, it was noted that the breakdown of mitozolomide was dependent upon the type of buffer used in the incubations and this may indeed mask any catalysis by the oligonucleotides.

Predicting class II MHC-Peptide binding:a kernel based approach using similarity scores

Background - Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epitopes. For Class II MHC alleles, the binding groove is open at both ends, causing ambiguity in the positional alignment between the groove and peptide, as well as creating uncertainty as to what parts of the peptide interact with the MHC. Moreover, the antigenic peptides have variable lengths, making naive modelling methods difficult to apply. This paper introduces a kernel method that can handle variable length peptides effectively by quantifying similarities between peptide sequences and integrating these into the kernel. Results - The kernel approach presented here shows increased prediction accuracy with a significantly higher number of true positives and negatives on multiple MHC class II alleles, when testing data sets from MHCPEP [1], MCHBN [2], and MHCBench [3]. Evaluation by cross validation, when segregating binders and non-binders, produced an average of 0.824 AROC for the MHCBench data sets (up from 0.756), and an average of 0.96 AROC for multiple alleles of the MHCPEP database. Conclusion - The method improves performance over existing state-of-the-art methods of MHC class II peptide binding predictions by using a custom, knowledge-based representation of peptides. Similarity scores, in contrast to a fixed-length, pocket-specific representation of amino acids, provide a flexible and powerful way of modelling MHC binding, and can easily be applied to other dynamic sequence problems.

Statistical deconvolution of enthalpic energetic contributions to MHC-peptide binding affinity

Background - MHC Class I molecules present antigenic peptides to cytotoxic T cells, which forms an integral part of the adaptive immune response. Peptides are bound within a groove formed by the MHC heavy chain. Previous approaches to MHC Class I-peptide binding prediction have largely concentrated on the peptide anchor residues located at the P2 and C-terminus positions. Results - A large dataset comprising MHC-peptide structural complexes was created by re-modelling pre-determined x-ray crystallographic structures. Static energetic analysis, following energy minimisation, was performed on the dataset in order to characterise interactions between bound peptides and the MHC Class I molecule, partitioning the interactions within the groove into van der Waals, electrostatic and total non-bonded energy contributions. Conclusion - The QSAR techniques of Genetic Function Approximation (GFA) and Genetic Partial Least Squares (G/PLS) algorithms were used to identify key interactions between the two molecules by comparing the calculated energy values with experimentally-determined BL50 data. Although the peptide termini binding interactions help ensure the stability of the MHC Class I-peptide complex, the central region of the peptide is also important in defining the specificity of the interaction. As thermodynamic studies indicate that peptide association and dissociation may be driven entropically, it may be necessary to incorporate entropic contributions into future calculations.