Prabakaran Ponraj, Siebers Jörg G, Ahmad Shandar, Gromiha M Michael, Singarayan Maria G, Sarai Akinori
Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka 820-8502, Japan.
Structure. 2006 Sep;14(9):1355-67. doi: 10.1016/j.str.2006.06.018.
We attempt to classify protein-DNA complexes by using a set of 11 descriptors, mainly characterizing protein-DNA interactions, including the number of atomic contacts at major and minor grooves, conformational deviations from standard B- and A-DNA forms, widths of DNA grooves, GC content, specificity measures of direct and indirect readouts, and buried surface area at the complex interface. The cluster analyses were carried out for a unique set of 62 complexes including a variety of protein motifs, and 7 distinct clusters were revealed from the analyses. We found that some proteins with the same motif are classified into different clusters, whereas different proteins with distinct motifs are classified into the same cluster. These results suggest that the conventional motif-based classification of DNA binding proteins may not necessarily correspond to structural and functional properties of protein-DNA complexes, and that the present classification will help to identify common properties and rules that govern protein-DNA recognition.
我们尝试通过使用一组11个描述符对蛋白质 - DNA复合物进行分类,这些描述符主要用于表征蛋白质 - DNA相互作用,包括在大沟和小沟处的原子接触数量、与标准B型和A型DNA形式的构象偏差、DNA沟的宽度、GC含量、直接和间接读出的特异性度量以及复合物界面处的掩埋表面积。对一组独特的62个复合物(包括各种蛋白质基序)进行了聚类分析,分析揭示了7个不同的簇。我们发现,一些具有相同基序的蛋白质被分类到不同的簇中,而具有不同基序的不同蛋白质被分类到同一个簇中。这些结果表明,传统的基于基序的DNA结合蛋白分类不一定与蛋白质 - DNA复合物的结构和功能特性相对应,并且目前的分类将有助于识别支配蛋白质 - DNA识别的共同特性和规则。