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Crystal structure of a monomeric retroviral protease solved by protein folding game players

Department of Biochemistry, University of Washington, Seattle, Washington, USA.
Nature Structural & Molecular Biology (Impact Factor: 13.31). 09/2011; 18(10):1175-7. DOI: 10.1038/nsmb.2119
Source: PubMed

ABSTRACT Following the failure of a wide range of attempts to solve the crystal structure of M-PMV retroviral protease by molecular replacement, we challenged players of the protein folding game Foldit to produce accurate models of the protein. Remarkably, Foldit players were able to generate models of sufficient quality for successful molecular replacement and subsequent structure determination. The refined structure provides new insights for the design of antiretroviral drugs.

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    • "Recent advancements in engineering and technology have created an opportunity for citizen science to have a significant impact on scientific research. We have seen examples of this impact across many research fields through the discovery of protein structures [12], the identification of galaxies [13], and the validation of land cover classes [2]. This last reference [2], referring to the Geo-Wiki project, is the most recent example of a crowdsourcing effort to assist in environmental monitoring. "
    Spatial Information Theory: Proceedings, Santa Fe, NM, USA; 10/2015
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    • "The highest scoring solutions are analysed by researchers and validated if applicable in real problems or not. Users in Foldit has already helped to decipher the crystal structure of the Mason-Pfizer monkey virus retroviral protease [19]. "
    Dataset: SBSC 2015
    • "Future directions—introducing crowd sourcing into drug design Jens Meiler showed principles and application examples of the RosettaLigand [20] and BCL::Cheminformatics [21] computational software packages, developed across academic institutions, highlighting both structure-based and ligand-based drug design (Fig. 13). A fascinating application of Rosetta is the computer game Foldit [22], with over 200,000 users. The goal of the game is to predict the structure of a protein . "
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