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基于几何哈希的SnapDock模板对接。

SnapDock-template-based docking by Geometric Hashing.

作者信息

Estrin Michael, Wolfson Haim J

机构信息

Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.

出版信息

Bioinformatics. 2017 Jul 15;33(14):i30-i36. doi: 10.1093/bioinformatics/btx233.

Abstract

MOTIVATION

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.

RESULTS

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.

AVAILABILITY AND IMPLEMENTATION

A web server of the application is under development.

CONTACT

michaelestrin@gmail.com or wolfson@tau.ac.il.

摘要

动机

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。

结果

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%。

可用性与实现

该应用的网络服务器正在开发中。

联系方式

michaelestrin@gmail.comwolfson@tau.ac.il

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37f7/5870628/ae5eaf4807da/btx233f1.jpg

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