Meyer Peter A, Socias Stephanie, Key Jason, Ransey Elizabeth, Tjon Emily C, Buschiazzo Alejandro, Lei Ming, Botka Chris, Withrow James, Neau David, Rajashankar Kanagalaghatta, Anderson Karen S, Baxter Richard H, Blacklow Stephen C, Boggon Titus J, Bonvin Alexandre M J J, Borek Dominika, Brett Tom J, Caflisch Amedeo, Chang Chung-I, Chazin Walter J, Corbett Kevin D, Cosgrove Michael S, Crosson Sean, Dhe-Paganon Sirano, Di Cera Enrico, Drennan Catherine L, Eck Michael J, Eichman Brandt F, Fan Qing R, Ferré-D'Amaré Adrian R, Fromme J Christopher, Garcia K Christopher, Gaudet Rachelle, Gong Peng, Harrison Stephen C, Heldwein Ekaterina E, Jia Zongchao, Keenan Robert J, Kruse Andrew C, Kvansakul Marc, McLellan Jason S, Modis Yorgo, Nam Yunsun, Otwinowski Zbyszek, Pai Emil F, Pereira Pedro José Barbosa, Petosa Carlo, Raman C S, Rapoport Tom A, Roll-Mecak Antonina, Rosen Michael K, Rudenko Gabby, Schlessinger Joseph, Schwartz Thomas U, Shamoo Yousif, Sondermann Holger, Tao Yizhi J, Tolia Niraj H, Tsodikov Oleg V, Westover Kenneth D, Wu Hao, Foster Ian, Fraser James S, Maia Filipe R N C, Gonen Tamir, Kirchhausen Tom, Diederichs Kay, Crosas Mercè, Sliz Piotr
Department of Biological Chemistry and Molecular Pharmacology, Boston, Massachusetts 02115, USA.
Laboratory of Molecular &Structural Microbiology, Institut Pasteur de Montevideo, Montevideo 11400, Uruguay.
Nat Commun. 2016 Mar 7;7:10882. doi: 10.1038/ncomms10882.
Access to experimental X-ray diffraction image data is fundamental for validation and reproduction of macromolecular models and indispensable for development of structural biology processing methods. Here, we established a diffraction data publication and dissemination system, Structural Biology Data Grid (SBDG; data.sbgrid.org), to preserve primary experimental data sets that support scientific publications. Data sets are accessible to researchers through a community driven data grid, which facilitates global data access. Our analysis of a pilot collection of crystallographic data sets demonstrates that the information archived by SBDG is sufficient to reprocess data to statistics that meet or exceed the quality of the original published structures. SBDG has extended its services to the entire community and is used to develop support for other types of biomedical data sets. It is anticipated that access to the experimental data sets will enhance the paradigm shift in the community towards a much more dynamic body of continuously improving data analysis.
获取实验性X射线衍射图像数据对于大分子模型的验证和重现至关重要，对于结构生物学处理方法的发展不可或缺。在此，我们建立了一个衍射数据发布与传播系统——结构生物学数据网格（SBDG；data.sbgrid.org），以保存支持科学出版物的原始实验数据集。研究人员可通过一个由社区驱动的数据网格访问这些数据集，该网格便于全球数据访问。我们对一组晶体学数据集试点的分析表明，SBDG存档的信息足以将数据重新处理至符合或超过原始发表结构质量的统计数据。SBDG已将其服务扩展至整个社区，并用于为其他类型的生物医学数据集提供支持。预计对实验数据集的访问将推动该领域向一个不断改进数据分析的更具动态性的体系转变。
