Janin Joël, Henrick Kim, Moult John, Eyck Lynn Ten, Sternberg Michael J E, Vajda Sandor, Vakser Ilya, Wodak Shoshana J
Laboratoire d'Enzymologie et Biochimie Structurales, CNRS, Gif-sur-Yvette, France.
Proteins. 2003 Jul 1;52(1):2-9. doi: 10.1002/prot.10381.
CAPRI is a communitywide experiment to assess the capacity of protein-docking methods to predict protein-protein interactions. Nineteen groups participated in rounds 1 and 2 of CAPRI and submitted blind structure predictions for seven protein-protein complexes based on the known structure of the component proteins. The predictions were compared to the unpublished X-ray structures of the complexes. We describe here the motivations for launching CAPRI, the rules that we applied to select targets and run the experiment, and some conclusions that can already be drawn. The results stress the need for new scoring functions and for methods handling the conformation changes that were observed in some of the target systems. CAPRI has already been a powerful drive for the community of computational biologists who development docking algorithms. We hope that this issue of Proteins will also be of interest to the community of structural biologists, which we call upon to provide new targets for future rounds of CAPRI, and to all molecular biologists who view protein-protein recognition as an essential process.
CAPRI是一项全社区范围的实验，旨在评估蛋白质对接方法预测蛋白质-蛋白质相互作用的能力。19个小组参与了CAPRI的第1轮和第2轮实验，并基于组成蛋白质的已知结构，对7种蛋白质-蛋白质复合物进行了盲法结构预测。这些预测结果与复合物未发表的X射线结构进行了比较。我们在此描述启动CAPRI的动机、我们用于选择靶标和进行实验的规则，以及一些已经得出的结论。结果强调了需要新的评分函数以及处理在某些靶标系统中观察到的构象变化的方法。CAPRI已经有力地推动了开发对接算法的计算生物学家群体。我们希望本期《蛋白质》杂志也能引起结构生物学家群体的兴趣，我们呼吁他们为未来几轮的CAPRI提供新的靶标，同时也能引起所有将蛋白质-蛋白质识别视为基本过程的分子生物学家的兴趣。
