Biotechnology Center, Technische Universität Dresden, Tatzberg 47-51, 01307 Dresden, Germany.
J Struct Biol. 2012 Sep;179(3):347-58. doi: 10.1016/j.jsb.2012.04.009. Epub 2012 May 1.
Over the past 10years, much research has been dedicated to the understanding of protein interactions. Large-scale experiments to elucidate the global structure of protein interaction networks have been complemented by detailed studies of protein interaction interfaces. Understanding the evolution of interfaces allows one to identify convergently evolved interfaces which are evolutionary unrelated but share a few key residues and hence have common binding partners. Understanding interaction interfaces and their evolution is an important basis for pharmaceutical applications in drug discovery. Here, we review the algorithms and databases on 3D protein interactions and discuss in detail applications in interface evolution, drug discovery, and interface prediction.
在过去的 10 年中，大量的研究致力于理解蛋白质相互作用。阐明蛋白质相互作用网络的全局结构的大规模实验，补充了对蛋白质相互作用界面的详细研究。了解界面的进化可以识别趋同进化的界面，这些界面在进化上没有关系，但共享一些关键残基，因此具有共同的结合伙伴。了解相互作用界面及其进化是药物发现中药物应用的重要基础。在这里，我们回顾了 3D 蛋白质相互作用的算法和数据库，并详细讨论了它们在界面进化、药物发现和界面预测中的应用。
