Liu Qian, Ren Jing, Song Jiangning, Li Jinyan
Advanced Analytics Institute, University of Technology Sydney, Broadway, NSW 2007, Australia.
Department of Biochemistry and Molecular Biology, Faculty of Medicine, Monash University, Melbourne, VIC 3800, Australia.
PLoS One. 2015 Dec 16;10(12):e0144486. doi: 10.1371/journal.pone.0144486. eCollection 2015.
A binding hot spot is a small area at a protein-protein interface that can make significant contribution to binding free energy. This work investigates the substantial contribution made by some special co-occurring atomic contacts at a binding hot spot. A co-occurring atomic contact is a pair of atomic contacts that are close to each other with no more than three covalent-bond steps. We found that two kinds of co-occurring atomic contacts can play an important part in the accurate prediction of binding hot spot residues. One is the co-occurrence of two nearby hydrogen bonds. For example, mutations of any residue in a hydrogen bond network consisting of multiple co-occurring hydrogen bonds could disrupt the interaction considerably. The other kind of co-occurring atomic contact is the co-occurrence of a hydrophobic carbon contact and a contact between a hydrophobic carbon atom and a π ring. In fact, this co-occurrence signifies the collective effect of hydrophobic contacts. We also found that the B-factor measurements of several specific groups of amino acids are useful for the prediction of hot spots. Taking the B-factor, individual atomic contacts and the co-occurring contacts as features, we developed a new prediction method and thoroughly assessed its performance via cross-validation and independent dataset test. The results show that our method achieves higher prediction performance than well-known methods such as Robetta, FoldX and Hotpoint. We conclude that these contact descriptors, in particular the novel co-occurring atomic contacts, can be used to facilitate accurate and interpretable characterization of protein binding hot spots.
结合热点是蛋白质 - 蛋白质界面上的一个小区域,它能对结合自由能做出重大贡献。这项工作研究了结合热点处一些特殊的共现原子接触所做出的重要贡献。共现原子接触是指一对彼此靠近且共价键步数不超过三步的原子接触。我们发现,两种共现原子接触在结合热点残基的准确预测中能发挥重要作用。一种是两个相邻氢键的共现。例如,由多个共现氢键组成的氢键网络中任何残基的突变都可能极大地破坏相互作用。另一种共现原子接触是疏水碳接触与疏水碳原子和π环之间接触的共现。实际上,这种共现意味着疏水接触的集体效应。我们还发现,几组特定氨基酸的B因子测量值对热点预测很有用。以B因子、单个原子接触和共现接触为特征,我们开发了一种新的预测方法,并通过交叉验证和独立数据集测试全面评估了其性能。结果表明,我们的方法比Robetta、FoldX和Hotpoint等知名方法具有更高的预测性能。我们得出结论,这些接触描述符,特别是新颖的共现原子接触,可用于促进对蛋白质结合热点的准确且可解释的表征。