Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland.
Program in Molecular Biophysics, Johns Hopkins University, Baltimore, Maryland.
Proteins. 2020 Aug;88(8):973-985. doi: 10.1002/prot.25855. Epub 2019 Dec 3.
Critical Assessment of PRediction of Interactions (CAPRI) rounds 37 through 45 introduced larger complexes, new macromolecules, and multistage assemblies. For these rounds, we used and expanded docking methods in Rosetta to model 23 target complexes. We successfully predicted 14 target complexes and recognized and refined near-native models generated by other groups for two further targets. Notably, for targets T110 and T136, we achieved the closest prediction of any CAPRI participant. We created several innovative approaches during these rounds. Since round 39 (target 122), we have used the new RosettaDock 4.0, which has a revamped coarse-grained energy function and the ability to perform conformer selection during docking with hundreds of pregenerated protein backbones. Ten of the complexes had some degree of symmetry in their interactions, so we tested Rosetta SymDock, realized its shortcomings, and developed the next-generation symmetric docking protocol, SymDock2, which includes docking of multiple backbones and induced-fit refinement. Since the last CAPRI assessment, we also developed methods for modeling and designing carbohydrates in Rosetta, and we used them to successfully model oligosaccharide-protein complexes in round 41. Although the results were broadly encouraging, they also highlighted the pressing need to invest in (a) flexible docking algorithms with the ability to model loop and linker motions and in (b) new sampling and scoring methods for oligosaccharide-protein interactions.
第 37 轮至第 45 轮的关键评估预测相互作用 (CAPRI) 引入了更大的复合物、新的大分子和多阶段组装。对于这些轮次,我们使用并扩展了 Rosetta 中的对接方法来模拟 23 个目标复合物。我们成功预测了 14 个目标复合物,并识别和完善了其他小组为另外两个目标生成的接近天然的模型。值得注意的是,对于 T110 和 T136 这两个目标,我们实现了 CAPRI 参与者中最接近的预测。在这些轮次中,我们创造了几种创新方法。自第 39 轮(目标 122)以来,我们一直使用新的 RosettaDock 4.0,它具有改进的粗粒度能量函数,并且能够在与数百个预先生成的蛋白质骨架进行对接时执行构象选择。十个复合物在它们的相互作用中具有某种程度的对称性,因此我们测试了 Rosetta SymDock,发现了它的缺点,并开发了下一代对称对接协议 SymDock2,它包括多个骨架的对接和诱导拟合的细化。自上一次 CAPRI 评估以来,我们还开发了 Rosetta 中建模和设计碳水化合物的方法,并在第 41 轮成功地对寡糖-蛋白质复合物进行了建模。尽管结果总体上令人鼓舞,但它们也突出了迫切需要投资(a)具有能够模拟环和接头运动的能力的灵活对接算法,以及(b)用于寡糖-蛋白质相互作用的新采样和评分方法。