Ranjan Sarita, Seshadri Jayshree, Vindal Vaibhav, Yellaboina Sailu, Ranjan Akash
Computational and Functional Genomics Group, Sun Centre of Excellence in Medical Bioinformatics, Centre for DNA Fingerprinting and Diagnostics EMBnet India Node, Hyderabad 500076, India.
Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W584-7. doi: 10.1093/nar/gkl202.
Gene regulatory circuits are often commonly shared between two closely related organisms. Our web tool iCR (identify Conserved target of a Regulon) makes use of this fact and identify conserved targets of a regulatory protein. iCR is a special refined extension of our previous tool PredictRegulon- that predicts genome wide, the potential binding sites and target operons of a regulatory protein in a single user selected genome. Like PredictRegulon, the iCR accepts known binding sites of a regulatory protein as ungapped multiple sequence alignment and provides the potential binding sites. However important differences are that the user can select more than one genome at a time and the output reports the genes that are common in two or more species. In order to achieve this, iCR makes use of Cluster of Orthologous Group (COG) indices for the genes. This tool analyses the upstream region of all user-selected prokaryote genome and gives the output based on conservation target orthologs. iCR also reports the Functional class codes based on COG classification for the encoded proteins of downstream genes which helps user understand the nature of the co-regulated genes at the result page itself. iCR is freely accessible at http://www.cdfd.org.in/icr/.
基因调控回路通常在两个亲缘关系密切的生物体之间共享。我们的网络工具iCR(识别调控子的保守靶标)利用了这一事实来识别调控蛋白的保守靶标。iCR是我们之前的工具PredictRegulon的一种特殊优化扩展,PredictRegulon可在全基因组范围内预测单个用户选择的基因组中调控蛋白的潜在结合位点和靶标操纵子。与PredictRegulon一样,iCR接受调控蛋白的已知结合位点作为无间隙多序列比对,并提供潜在的结合位点。然而,重要的区别在于,用户一次可以选择多个基因组,并且输出会报告两个或更多物种中共同的基因。为了实现这一点,iCR利用了基因的直系同源群(COG)索引。该工具分析所有用户选择的原核生物基因组的上游区域,并根据保守靶标直系同源物给出输出。iCR还会根据下游基因编码蛋白的COG分类报告功能类别代码,这有助于用户在结果页面本身了解共同调控基因的性质。可通过http://www.cdfd.org.in/icr/免费访问iCR。