Petrek Martin, Kosinová Pavlína, Koca Jaroslav, Otyepka Michal
National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno-Bohunice, Czech Republic.
Structure. 2007 Nov;15(11):1357-63. doi: 10.1016/j.str.2007.10.007.
We have developed an algorithm, "MOLE," for the rapid, fully automated location and characterization of molecular channels, tunnels, and pores. This algorithm has been made freely available on the Internet (http://mole.chemi.muni.cz/) and overcomes many of the shortcomings and limitations of the recently developed CAVER software. The core of our MOLE algorithm is a Dijkstra's path search algorithm, which is applied to a Voronoi mesh. Tests on a wide variety of biomolecular systems including gramicidine, acetylcholinesterase, cytochromes P450, potassium channels, DNA quadruplexes, ribozymes, and the large ribosomal subunit have demonstrated that the MOLE algorithm performs well. MOLE is thus a powerful tool for exploring large molecular channels, complex networks of channels, and molecular dynamics trajectories in which analysis of a large number of snapshots is required.
我们开发了一种名为“MOLE”的算法,用于对分子通道、隧道和孔隙进行快速、全自动的定位与特征描述。该算法已在互联网上免费提供(http://mole.chemi.muni.cz/),并克服了最近开发的CAVER软件的许多缺点和局限性。我们的MOLE算法的核心是一种迪杰斯特拉路径搜索算法,它应用于沃罗诺伊网格。对包括短杆菌肽、乙酰胆碱酯酶、细胞色素P450、钾通道、DNA四链体、核酶和大核糖体亚基在内的各种生物分子系统进行的测试表明,MOLE算法表现良好。因此,MOLE是探索大型分子通道、复杂通道网络以及需要分析大量快照的分子动力学轨迹的有力工具。