Toyota Technological Institute at Chicago, Chicago, Illinois, 60637.
Proteins. 2013 Dec;81(12):2129-36. doi: 10.1002/prot.24404. Epub 2013 Oct 17.
Since the fourth evaluation for critical assessment of prediction of interactions (CAPRI), we have made improvements in three major areas in our refinement approach, namely the treatment of conformational flexibility, the binding free energy model, and the search algorithm. First, we incorporated backbone flexibility into our previous approach, which only optimized rigid backbone poses with limited side-chain flexibility. Here, we formulated and solved the conformational search as a hierarchical optimization problem (involving rigid-body poses, backbone flexibility, and side-chain flexibility). Second, we used continuum electrostatic calculations to include solvation effects in the binding free energy model. Finally, we eliminated sloppy modes (directions in which the free energy is essentially constant) to improve the efficiency of the search. With these improvements, we produced correct predictions for 6 of the 10 latest CAPRI targets, including one high, three medium, and two acceptable accuracy predictions. Compared to our previous performance in CAPRI, substantial improvements have been made for targets requiring homology modeling.
自第四次交互预测评估(CAPRI)以来,我们在细化方法的三个主要领域进行了改进,即构象灵活性处理、结合自由能模型和搜索算法。首先,我们将骨架灵活性纳入到之前只优化具有有限侧链灵活性的刚性骨架构象的方法中。在这里,我们将构象搜索表述为一个层次优化问题(涉及刚体构象、骨架灵活性和侧链灵活性)。其次,我们使用连续静电计算将溶剂化效应纳入结合自由能模型中。最后,我们消除了懒散模式(自由能基本不变的方向),以提高搜索效率。通过这些改进,我们对最新的 10 个 CAPRI 目标中的 6 个进行了正确的预测,包括一个高、三个中、两个可接受的精度预测。与我们在 CAPRI 中的先前表现相比,对于需要同源建模的目标,已经取得了实质性的改进。