Pagel Philipp, Wong Philip, Frishman Dmitrij
Institute for Bioinformatics, GSF-National Research Center for Environment and Health, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.
J Mol Biol. 2004 Dec 10;344(5):1331-46. doi: 10.1016/j.jmb.2004.10.019.
Phylogenetic profiling is a well established method for predicting functional relations and physical interactions between proteins. We present a new method for finding such relations based on phylogenetic profiling of conserved domains rather than proteins, avoiding computationally expensive all versus all sequence comparisons among genomes. The resulting domain interaction map (DIMA) can be explored directly or mapped to a genome of interest. We demonstrate that the performance of DIMA is comparable to that of classical phylogenetic profiling and its predictions often yield information that cannot be detected by profiling of entire protein chains. We provide a list of novel domain associations predicted by our method.
系统发育谱分析是一种用于预测蛋白质之间功能关系和物理相互作用的成熟方法。我们提出了一种基于保守结构域而非蛋白质的系统发育谱分析来寻找此类关系的新方法,避免了基因组之间计算成本高昂的全对全序列比较。由此产生的结构域相互作用图谱(DIMA)可以直接进行探索,也可以映射到感兴趣的基因组上。我们证明,DIMA的性能与经典系统发育谱分析相当,其预测结果常常能产生通过对整个蛋白质链进行谱分析无法检测到的信息。我们提供了一份由我们的方法预测的新型结构域关联列表。