Estrin Michael, Wolfson Haim J
Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Bioinformatics. 2017 Jul 15;33(14):i30-i36. doi: 10.1093/bioinformatics/btx233.
A highly efficient template-based protein-protein docking algorithm, nicknamed SnapDock, is presented. It employs a Geometric Hashing-based structural alignment scheme to align the target proteins to the interfaces of non-redundant protein-protein interface libraries. Docking of a pair of proteins utilizing the 22 600 interface PIFACE library is performed in < 2 min on the average. A flexible version of the algorithm allowing hinge motion in one of the proteins is presented as well.
To evaluate the performance of the algorithm a blind re-modelling of 3547 PDB complexes, which have been uploaded after the PIFACE publication has been performed with success ratio of about 35%. Interestingly, a similar experiment with the template free PatchDock docking algorithm yielded a success rate of about 23% with roughly 1/3 of the solutions different from those of SnapDock. Consequently, the combination of the two methods gave a 42% success ratio.
A web server of the application is under development.
提出了一种高效的基于模板的蛋白质-蛋白质对接算法,简称为SnapDock。它采用基于几何哈希的结构比对方案,将目标蛋白质与非冗余蛋白质-蛋白质界面库的界面进行比对。利用包含22600个界面的PIFACE库对一对蛋白质进行对接,平均用时不到2分钟。还提出了该算法的一个灵活版本,允许其中一个蛋白质进行铰链运动。
为评估该算法的性能,对3547个PDB复合物进行了盲法重新建模,这些复合物是在PIFACE发表之后上传的,成功率约为35%。有趣的是,使用无模板的PatchDock对接算法进行的类似实验,成功率约为23%,且大约三分之一的解决方案与SnapDock的不同。因此,两种方法相结合的成功率为42%。
该应用的网络服务器正在开发中。