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Phasing statistics for alpha helical membrane protein structures.

ABSTRACT: In this report we highlight the latest trends in phasing methods used to solve alpha helical membrane protein structures and analyze the use of heavy atom metals for the purpose of experimental phasing. Our results reveal that molecular replacement is emerging as the most successful method for phasing alpha helical membrane proteins, with the notable exception of the transporter family, where experimentally derived phase information still remains the most effective method. To facilitate selection of heavy atoms salts for experimental phasing an analysis of these was undertaken and indicates that organic mercury salts are still the most successful heavy atoms reagents. Interestingly the use of seleno-L-methionine incorporated protein has increased since earlier studies into membrane protein phasing, so too the use of SAD and MAD as techniques for phase determination. Taken together this study provides a brief snapshot of phasing methods for alpha helical membrane proteins and suggests possible routes for heavy atom selection and phasing methods based on currently available data.

SUBMITTER: Parker JL

PROVIDER: S-EPMC3831681 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

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Phasing statistics for alpha helical membrane protein structures.

Parker Joanne L JL Newstead Simon S

Protein science : a publication of the Protein Society 20130917 11

In this report we highlight the latest trends in phasing methods used to solve alpha helical membrane protein structures and analyze the use of heavy atom metals for the purpose of experimental phasing. Our results reveal that molecular replacement is emerging as the most successful method for phasing alpha helical membrane proteins, with the notable exception of the transporter family, where experimentally derived phase information still remains the most effective method. To facilitate selectio ...[more]

PMID: 23963889

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Project description:BackgroundIn genomics and proteomics, membrane protein analysis have shown that such analyses are very important to support the understanding of complex biological processes. In Genome-wide investigations of membrane proteins a large number of short, distinct sequence motifs has been revealed. Such motifs found so far support the understanding of the folded membrane protein in the membrane environment. They provide important information about functional or stabilizing properties. Recently several integrative approaches have been proposed to extract meaningful information out of the membrane environment. However, many information based approaches deliver results having deficits of visualisation outputs. Outgoing from high-throughput protein data analysis, these outputs play an important role in the evaluation of high-dimensional protein data, to establish a biological relationship and ultimately to provide useful information for research.ResultsWe have evaluated different resulting graphs generated from statistical analysis of consecutive motifs in helical structures of the membrane environment. Our results show that representative motifs with high occurrence in all investigated protein families are responsible for the general importance in alpha-helical membrane structure formation. Further, motifs which often occur with others in their function as so called "hubs" lead to the assumption, that these motifs constitute as important components in helical structures within the membrane. Otherwise, consecutive motifs and hubs which show a high occurrence in certain families only can be classified as important for family-specific functional characteristics. Summarized, we are able to bridge our graphical results from high-throughput analysis of membrane proteins over networking with databases to a biological context.ConclusionsOur results and the corresponding graphical visualisation support the understanding and interpretation of structure forming and functional motifs of membrane proteins. Our results are useful to interpret and refine results of common developed approaches. At last we show a simple way to visualise high-dimensional protein data in context to biological relevant information.

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Phasing statistics for alpha helical membrane protein structures.

Publications

Phasing statistics for alpha helical membrane protein structures.

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