Koc University, Center for Computational Biology and Bioinformatics, and College of Engineering, Rumelifeneri Yolu, 34450 Sariyer Istanbul, Turkey.
Phys Biol. 2011 Jun;8(3):035006. doi: 10.1088/1478-3975/8/3/035006. Epub 2011 May 13.
The vast majority of the chores in the living cell involve protein-protein interactions. Providing details of protein interactions at the residue level and incorporating them into protein interaction networks are crucial toward the elucidation of a dynamic picture of cells. Despite the rapid increase in the number of structurally known protein complexes, we are still far away from a complete network. Given experimental limitations, computational modeling of protein interactions is a prerequisite to proceed on the way to complete structural networks. In this work, we focus on the question 'how do proteins interact?' rather than 'which proteins interact?' and we review structure-based protein-protein interaction prediction approaches. As a sample approach for modeling protein interactions, PRISM is detailed which combines structural similarity and evolutionary conservation in protein interfaces to infer structures of complexes in the protein interaction network. This will ultimately help us to understand the role of protein interfaces in predicting bound conformations.
活细胞中的绝大多数家务都涉及蛋白质-蛋白质相互作用。提供残基水平的蛋白质相互作用细节,并将其纳入蛋白质相互作用网络,对于阐明细胞的动态图景至关重要。尽管已知结构的蛋白质复合物数量迅速增加,但我们仍远远没有完成整个网络。鉴于实验的局限性,蛋白质相互作用的计算建模是构建完整结构网络的前提。在这项工作中,我们关注的问题是“蛋白质如何相互作用?”而不是“哪些蛋白质相互作用?”我们回顾了基于结构的蛋白质-蛋白质相互作用预测方法。作为建模蛋白质相互作用的示例方法,详细介绍了 PRISM,它结合了蛋白质界面中的结构相似性和进化保守性,以推断蛋白质相互作用网络中复合物的结构。这最终将帮助我们理解蛋白质界面在预测结合构象中的作用。