Blind testing of routine, fully automated determination of protein structures from NMR data.
Blind testing of routine, fully automated determination of protein structures from NMR data.
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DOI:
10.1016/j.str.2012.01.002
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发表时间:
2012-02-08
期刊:
影响因子:
5.7
通讯作者:
Bonvin, Alexandre M. J. J.
中科院分区:
文献类型:
--
作者:
Rosato, Antonio;Aramini, James M.;Arrowsmith, Cheryl;Bagaria, Anurag;Baker, David;Cavalli, Andrea;Doreleijers, Jurgen F.;Eletsky, Alexander;Giachetti, Andrea;Guerry, Paul;Gutmanas, Aleksandras;Guentert, Peter;He, Yunfen;Herrmann, Torsten;Huang, Yuanpeng J.;Jaravine, Victor;Jonker, Hendrik R. A.;Kennedy, Michael A.;Lange, Oliver F.;Liu, Gaohua;Malliavin, Therese 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.;de Vries, Sjoerd;Vuister, Geerten W.;Wu, Bin;Yang, Yunhuang;Bonvin, Alexandre M. J. J.
The protocols currently used for protein structure determination by 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 ten experimental datasets with unassigned 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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DOI:
10.1007/s10969-010-9084-9
发表时间:
2010-03
期刊:
Journal of structural and functional genomics
影响因子:
--
作者:
Bonvin, Alexandre M J J;Rosato, Antonio;Wassenaar, Tsjerk A
通讯作者:
Wassenaar, Tsjerk A
影响因子:
2.9
作者:
Huang, YJ;Tejero, R;Montelione, GT
通讯作者:
Montelione, GT
DOI:
10.1073/pnas.0610313104
发表时间:
2007-06-05
影响因子:
11.1
作者:
Cavalli, Andrea;Salvatella, Xavier;Vendruscolo, Michele
通讯作者:
Vendruscolo, Michele
影响因子:
2.7
作者:
Folmer, RHA;Hilbers, CW;Nilges, M
通讯作者:
Nilges, M
影响因子:
4.3
作者:
Markwick PR;Malliavin T;Nilges M
通讯作者:
Nilges M