1,000 structures and more from the MCSG View Full Text


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Article Info

DATE

2011-12

AUTHORS

David Lee, Tjaart AP de Beer, Roman A Laskowski, Janet M Thornton, Christine A Orengo

ABSTRACT

BACKGROUND: The Midwest Center for Structural Genomics (MCSG) is one of the large-scale centres of the Protein Structure Initiative (PSI). During the first two phases of the PSI the MCSG has solved over a thousand protein structures. A criticism of structural genomics is that target selection strategies mean that some structures are solved without having a known function and thus are of little biomedical significance. Structures of unknown function have stimulated the development of methods for function prediction from structure. RESULTS: We show that the MCSG has met the stated goals of the PSI and use online resources and readily available function prediction methods to provide functional annotations for more than 90% of the MCSG structures. The structure-to-function prediction method ProFunc provides likely functions for many of the MCSG structures that cannot be annotated by sequence-based methods. CONCLUSIONS: Although the focus of the PSI was structural coverage, many of the structures solved by the MCSG can also be associated with functional classes and biological roles of possible biomedical value. More... »

PAGES

2

References to SciGraph publications

  • 2009-03. The Protein Model Portal in JOURNAL OF STRUCTURAL AND FUNCTIONAL GENOMICS
  • 2000-05. Gene Ontology: tool for the unification of biology in NATURE GENETICS
  • 2009-04. Structural genomics is the largest contributor of novel structural leverage in JOURNAL OF STRUCTURAL AND FUNCTIONAL GENOMICS
  • 2007-08. Novel leverage of structural genomics in NATURE BIOTECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1472-6807-11-2

    DOI

    http://dx.doi.org/10.1186/1472-6807-11-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011736077

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21219649


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    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1472-6807-11-2'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1472-6807-11-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1472-6807-11-2'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1472-6807-11-2'


     

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