Pagel Philipp, Oesterheld Matthias, Tovstukhina Oksana, Strack Norman, Stümpflen Volker, Frishman Dmitrij
Lehrstuhl für Genomorientierte Bioinformatik, Wissenschaftszentrum Weihenstephan, Technische Universität München, Am Forum 1, D-85350 Freising, Germany.
Nucleic Acids Res. 2008 Jan;36(Database issue):D651-5. doi: 10.1093/nar/gkm996. Epub 2007 Nov 13.
DIMA-the domain interaction map has evolved from a simple web server for domain phylogenetic profiling into an integrative prediction resource combining both experimental data on domain-domain interactions and predictions from two different algorithms. With this update, DIMA obtains greatly improved coverage at the level of genomes and domains as well as with respect to available prediction approaches. The domain phylogenetic profiling method now uses SIMAP as its backend for exhaustive domain hit coverage: 7038 Pfam domains were profiled over 460 completely sequenced genomes. Domain pair exclusion predictions were produced from 83 969 distinct protein-protein interactions obtained from IntAct resulting in 21 513 domain pairs with significant domain pair exclusion algorithm scores. Additional predictions applying the same algorithm to predicted protein interactions from STRING yielded 2378 high-confidence pairs. Experimental data comes from iPfam (3074) and 3did (3034 pairs), two databases identifying domain contacts in solved protein structures. Taken together, these two resources yielded 3653 distinct interacting domain pairs. DIMA is available at http://mips.gsf.de/genre/proj/dima.
DIMA(结构域相互作用图谱)已从一个用于结构域系统发育分析的简单网络服务器发展成为一个整合预测资源,它结合了结构域-结构域相互作用的实验数据以及来自两种不同算法的预测结果。通过此次更新,DIMA在基因组和结构域层面以及可用预测方法方面都获得了显著提高的覆盖范围。结构域系统发育分析方法现在使用SIMAP作为其后端,以实现详尽的结构域命中覆盖:在460个完全测序的基因组上对7038个Pfam结构域进行了分析。从IntAct获得的83969个不同的蛋白质-蛋白质相互作用中产生了结构域对排除预测,从而得到21513个具有显著结构域对排除算法分数的结构域对。将相同算法应用于STRING预测的蛋白质相互作用产生了2378个高可信度对。实验数据来自iPfam(3074个)和3did(3034对),这两个数据库可识别已解析蛋白质结构中的结构域接触。综合起来,这两个资源产生了3653个不同的相互作用结构域对。可通过http://mips.gsf.de/genre/proj/dima访问DIMA。