Department of Bioengineering and Therapeutic Sciences, University of California at San Francisco, 1700 4th Street, San Francisco, CA 94158, USA.
Nucleic Acids Res. 2010 Jul;38(Web Server issue):W569-75. doi: 10.1093/nar/gkq369. Epub 2010 May 12.
The RosettaBackrub server (http://kortemmelab.ucsf.edu/backrub) implements the Backrub method, derived from observations of alternative conformations in high-resolution protein crystal structures, for flexible backbone protein modeling. Backrub modeling is applied to three related applications using the Rosetta program for structure prediction and design: (I) modeling of structures of point mutations, (II) generating protein conformational ensembles and designing sequences consistent with these conformations and (III) predicting tolerated sequences at protein-protein interfaces. The three protocols have been validated on experimental data. Starting from a user-provided single input protein structure in PDB format, the server generates near-native conformational ensembles. The predicted conformations and sequences can be used for different applications, such as to guide mutagenesis experiments, for ensemble-docking approaches or to generate sequence libraries for protein design.
RosettaBackrub 服务器（http://kortemmelab.ucsf.edu/backrub）实现了 Backrub 方法，该方法源自对高分辨率蛋白质晶体结构中替代构象的观察，用于灵活的蛋白质骨架建模。Rosetta 程序用于结构预测和设计的三个相关应用程序中使用了 Backrub 建模：（I）点突变结构的建模，（II）生成蛋白质构象集合并设计与这些构象一致的序列，以及（III）预测蛋白质-蛋白质界面处的耐受序列。这三个协议已经在实验数据上进行了验证。从用户提供的 PDB 格式的单个输入蛋白质结构开始，服务器生成接近天然的构象集合。预测的构象和序列可用于不同的应用，例如指导诱变实验、用于集合对接方法或生成蛋白质设计的序列文库。
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