Schneidman-Duhovny Dina, Inbar Yuval, Polak Vladimir, Shatsky Maxim, Halperin Inbal, Benyamini Hadar, Barzilai Adi, Dror Oranit, Haspel Nurit, Nussinov Ruth, Wolfson Haim J
School of Computer Science, Beverly and Raymond Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.
Proteins. 2003 Jul 1;52(1):107-12. doi: 10.1002/prot.10397.
We present a very efficient rigid "unbound" soft docking methodology, which is based on detection of geometric shape complementarity, allowing liberal steric clash at the interface. The method is based on local shape feature matching, avoiding the exhaustive search of the 6D transformation space. Our experiments at CAPRI rounds 1 and 2 show that although the method does not perform an exhaustive search of the 6D transformation space, the "correct" solution is never lost. However, such a solution might rank low for large proteins, because there are alternatives with significantly larger geometrically compatible interfaces. In many cases this problem can be resolved by successful a priori focusing on the vicinity of potential binding sites as well as the extension of the technique to flexible (hinge-bent) docking. This is demonstrated in the experiments performed as a lesson from our CAPRI experience.
我们提出了一种非常高效的刚性“无约束”柔性对接方法,该方法基于几何形状互补性检测,允许在界面处存在宽松的空间冲突。该方法基于局部形状特征匹配,避免了对6D变换空间的穷举搜索。我们在CAPRI第一轮和第二轮的实验表明,尽管该方法没有对6D变换空间进行穷举搜索,但“正确”的解决方案从未丢失。然而,对于大型蛋白质,这样的解决方案可能排名较低,因为存在具有明显更大几何兼容界面的替代方案。在许多情况下,这个问题可以通过事先成功地聚焦于潜在结合位点附近以及将该技术扩展到柔性(铰链弯曲)对接来解决。这在作为我们从CAPRI经验中吸取的教训而进行的实验中得到了证明。