Sacan Ahmet, Toroslu I Hakki, Ferhatosmanoglu Hakan
Department of Computer Engineering, Middle East Technical University, Ankara, Turkey.
Bioinformatics. 2008 Dec 15;24(24):2872-9. doi: 10.1093/bioinformatics/btn545. Epub 2008 Oct 22.
Identification and comparison of similar three-dimensional (3D) protein structures has become an even greater challenge in the face of the rapidly growing structure databases. Here, we introduce Vorometric, a new method that provides efficient search and alignment of a query protein against a database of protein structures. Voronoi contacts of the protein residues are enriched with the secondary structure information and a metric substitution matrix is developed to allow efficient indexing. The contact hits obtained from a distance-based indexing method are extended to obtain high-scoring segment pairs, which are then used to generate structural alignments.
Vorometric is the first to address both search and alignment problems in the protein structure databases. The experimental results show that Vorometric is simultaneously effective in retrieving similar protein structures, producing high-quality structure alignments, and identifying cross-fold similarities. Vorometric outperforms current structure retrieval methods in search accuracy, while requiring com-parable running times. Furthermore, the structural superpositions produced are shown to have better quality and coverage, when compared with those of the popular structure alignment tools.
Vorometric is available as a web service at http://bio.cse.ohio-state.edu/Vorometric
面对快速增长的结构数据库,识别和比较相似的三维(3D)蛋白质结构已成为一项更大的挑战。在此,我们介绍了Voronometric,一种新方法,它能对查询蛋白质与蛋白质结构数据库进行高效搜索和比对。蛋白质残基的Voronoi接触富含二级结构信息,并开发了一种度量替换矩阵以实现高效索引。从基于距离的索引方法获得的接触命中结果被扩展以获得高分片段对,然后用于生成结构比对。
Voronometric是首个解决蛋白质结构数据库中搜索和比对问题的方法。实验结果表明,Voronometric在检索相似蛋白质结构、生成高质量结构比对以及识别跨折叠相似性方面均有效。Voronometric在搜索准确性方面优于当前的结构检索方法,同时运行时间相当。此外,与流行的结构比对工具相比,其生成的结构叠加显示出更好的质量和覆盖范围。
Voronometric可作为网络服务在http://bio.cse.ohio-state.edu/Vorometric获取。