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CheShift-2: graphic validation of protein structures.

ABSTRACT:

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The differences between observed and predicted (13)C(α) chemical shifts can be used as a sensitive probe with which to detect possible local flaws in protein structures. For this reason, we previously introduced CheShift, a Web server for protein structure validation. Now, we present CheShift-2 in which a graphical user interface is implemented to render such local flaws easily visible. A series of applications to 15 ensembles of conformations illustrate the ability of CheShift-2 to locate the main structural flaws rapidly and accurately on a per-residue basis. Since accuracy plays a central role in CheShift predictions, the treatment of histidine (His) is investigated here by exploring which form of His should be used in CheShift-2.

Availability

CheShift-2 is free of charge for academic use and can be accessed from www.cheshift.com

SUBMITTER: Martin OA

PROVIDER: S-EPMC3356844 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature

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CheShift-2: graphic validation of protein structures.

Martin Osvaldo A OA Vila Jorge A JA Scheraga Harold A HA

Bioinformatics (Oxford, England) 20120411 11

<h4>Unlabelled</h4>The differences between observed and predicted (13)C(α) chemical shifts can be used as a sensitive probe with which to detect possible local flaws in protein structures. For this reason, we previously introduced CheShift, a Web server for protein structure validation. Now, we present CheShift-2 in which a graphical user interface is implemented to render such local flaws easily visible. A series of applications to 15 ensembles of conformations illustrate the ability of CheShif ...[more]

PMID: 22495749

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Project description:BackgroundG protein-coupled receptors (GPCRs) are abundant, activate complex signalling and represent the targets for up to approximately 60% of pharmaceuticals but there is a paucity of structural data. Bovine rhodopsin is the first GPCR for which high-resolution structures have been completed but significant variations in structure are likely to exist among the GPCRs. Because of this, considerable effort has been expended on developing in silico tools for refining structures of individual GPCRs. We have developed REPIMPS, a modification of the inverse-folding software Profiles-3D, to assess and predict the rotational orientation and vertical position of helices within the helix bundle of individual GPCRs. We highlight the value of the method by applying it to the Baldwin GPCR template but the method can, in principle, be applied to any low- or high-resolution membrane protein template or structure.Results3D models were built for transmembrane helical segments of 493 GPCRs based on the Baldwin template, and the models were then scored using REPIMPS and Profiles-3D. The compatibility scores increased significantly using REPIMPS because it takes into account the physicochemical properties of the (lipid) environment surrounding the helix bundle. The arrangement of helices in the helix bundle of the 493 models was then altered systematically by rotating the individual helices. For most GPCRs in the set, changes in the rotational position of one or more helices resulted in significant improvement in the compatibility scores. In particular, for most GPCRs, a rotation of helix VII by 240-300 degrees resulted in improved scores. Bovine rhodopsin modelled using this method showed 3.31 A RMSD to its crystal structure for 198 Calpha atom pairs, suggesting the utility of the method even when starting with idealised structures such as the Baldwin template.ConclusionWe have developed an in silico tool which can be used to test the validity of, and refine, models of GPCRs with respect to helix rotation and vertical position based on the physicochemical properties of amino acids and the surrounding environment. The method can be applied to any multi-pass membrane protein and potentially can be used in combination with other high-throughput methodologies to generate and refine models of membrane proteins.

Dataset Information

CheShift-2: graphic validation of protein structures.

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Publications

CheShift-2: graphic validation of protein structures.

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