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Blind testing of routine, fully automated determination of protein structures from NMR data
Authors:Rosato Antonio  Aramini James M  Arrowsmith Cheryl  Bagaria Anurag  Baker David  Cavalli Andrea  Doreleijers Jurgen F  Eletsky Alexander  Giachetti Andrea  Guerry Paul  Gutmanas Aleksandras  Güntert Peter  He Yunfen  Herrmann Torsten  Huang Yuanpeng J  Jaravine Victor  Jonker Hendrik R A  Kennedy Michael A  Lange Oliver F  Liu Gaohua  Malliavin Thérèse E  Mani Rajeswari  Mao Binchen  Montelione Gaetano T  Nilges Michael  Rossi Paolo  van der Schot Gijs  Schwalbe Harald  Szyperski Thomas A  Vendruscolo Michele  Vernon Robert  Vranken Wim F  Vries Sjoerd de  Vuister Geerten W  Wu Bin  Yang Yunhuang  Bonvin Alexandre M J J
Institution:Magnetic Resonance Center, University of Florence, 50019 Sesto Fiorentino, Italy. rosato@cerm.unifi.it
Abstract:The protocols currently used for protein structure determination by nuclear magnetic resonance (NMR) depend on the determination of a large number of upper distance limits for proton-proton pairs. Typically, this task is performed manually by an experienced researcher rather than automatically by using a specific computer program. To assess whether it is indeed possible to generate in a fully automated manner NMR structures adequate for deposition in the Protein Data Bank, we gathered 10 experimental data sets with unassigned nuclear Overhauser effect spectroscopy (NOESY) peak lists for various proteins of unknown structure, computed structures for each of them using different, fully automatic programs, and compared the results to each other and to the manually solved reference structures that were not available at the time the data were provided. This constitutes a stringent "blind" assessment similar to the CASP and CAPRI initiatives. This study demonstrates the feasibility of routine, fully automated protein structure determination by NMR.
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