Department of Biology, Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland.
PLoS One. 2013 Sep 17;8(9):e73411. doi: 10.1371/journal.pone.0073411. eCollection 2013.
Chemical cross-links identified by mass spectrometry generate distance restraints that reveal low-resolution structural information on proteins and protein complexes. The technology to reliably generate such data has become mature and robust enough to shift the focus to the question of how these distance restraints can be best integrated into molecular modeling calculations. Here, we introduce three workflows for incorporating distance restraints generated by chemical cross-linking and mass spectrometry into ROSETTA protocols for comparative and de novo modeling and protein-protein docking. We demonstrate that the cross-link validation and visualization software Xwalk facilitates successful cross-link data integration. Besides the protocols we introduce XLdb, a database of chemical cross-links from 14 different publications with 506 intra-protein and 62 inter-protein cross-links, where each cross-link can be mapped on an experimental structure from the Protein Data Bank. Finally, we demonstrate on a protein-protein docking reference data set the impact of virtual cross-links on protein docking calculations and show that an inter-protein cross-link can reduce on average the RMSD of a docking prediction by 5.0 Å. The methods and results presented here provide guidelines for the effective integration of chemical cross-link data in molecular modeling calculations and should advance the structural analysis of particularly large and transient protein complexes via hybrid structural biology methods.
通过质谱鉴定的化学交联可产生距离约束,从而揭示蛋白质和蛋白质复合物的低分辨率结构信息。可靠地生成此类数据的技术已经成熟且足够强大,足以将重点转移到如何将这些距离约束最佳地整合到分子建模计算中的问题上。在这里,我们介绍了三种将通过化学交联和质谱产生的距离约束纳入 ROSETTA 协议进行比较和从头建模以及蛋白质-蛋白质对接的工作流程。我们证明了交联验证和可视化软件 Xwalk 有助于成功地整合交联数据。除了我们引入的协议外,XLdb 还是一个包含来自 14 个不同出版物的化学交联的数据库,其中有 506 个内蛋白和 62 个蛋白间交联,每个交联都可以映射到蛋白质数据库中的实验结构上。最后,我们在蛋白质-蛋白质对接参考数据集上证明了虚拟交联对蛋白质对接计算的影响,并表明蛋白间交联平均可以将对接预测的 RMSD 降低 5.0 Å。本文介绍的方法和结果为在分子建模计算中有效整合化学交联数据提供了指导,并应通过混合结构生物学方法推进对特别大的和瞬态蛋白质复合物的结构分析。