Nagarathnam Balasubramanian, Karpe Snehal D, Harini Krishnan, Sankar Kannan, Iftekhar Mohammed, Rajesh Durairaj, Giji Sadasivam, Archunan Govidaraju, Balakrishnan Veluchamy, Gromiha M Michael, Nemoto Wataru, Fukui Kazhuhiko, Sowdhamini Ramanathan
National Center for Biological Sciences (TIFR), Bangalore, India.
Birla Institute of Technology and Science, Pilani, India. ; Presently in: Bioinformatics and Computational Biology Program, Iowa State University, Ames, IA, USA.
Bioinform Biol Insights. 2014 Jun 12;8:147-58. doi: 10.4137/BBI.S14858. eCollection 2014.
Olfaction is the response to odors and is mediated by a class of membrane-bound proteins called olfactory receptors (ORs). An understanding of these receptors serves as a good model for basic signal transduction mechanisms and also provides important clues for the strategies adopted by organisms for their ultimate survival using chemosensory perception in search of food or defense against predators. Prior research on cross-genome phylogenetic analyses from our group motivated the addressal of conserved evolutionary trends, clustering, and ortholog prediction of ORs. The database of olfactory receptors (DOR) is a repository that provides sequence and structural information on ORs of selected organisms (such as Saccharomyces cerevisiae, Drosophila melanogaster, Caenorhabditis elegans, Mus musculus, and Homo sapiens). Users can download OR sequences, study predicted membrane topology, and obtain cross-genome sequence alignments and phylogeny, including three-dimensional (3D) structural models of 100 selected ORs and their predicted dimer interfaces. The database can be accessed from http://caps.ncbs.res.in/DOR. Such a database should be helpful in designing experiments on point mutations to probe into the possible dimerization modes of ORs and to even understand the evolutionary changes between different receptors.
嗅觉是对气味的反应,由一类称为嗅觉受体(ORs)的膜结合蛋白介导。对这些受体的理解是基本信号转导机制的良好模型,也为生物体利用化学感应感知寻找食物或防御捕食者以实现最终生存所采用的策略提供了重要线索。我们团队之前对跨基因组系统发育分析的研究推动了对ORs保守进化趋势、聚类和直系同源物预测的探讨。嗅觉受体数据库(DOR)是一个储存库,提供选定生物体(如酿酒酵母、黑腹果蝇、秀丽隐杆线虫、小家鼠和智人)的ORs的序列和结构信息。用户可以下载OR序列,研究预测的膜拓扑结构,并获得跨基因组序列比对和系统发育信息,包括100个选定ORs的三维(3D)结构模型及其预测的二聚体界面。该数据库可从http://caps.ncbs.res.in/DOR访问。这样的数据库有助于设计点突变实验,以探究ORs可能的二聚化模式,甚至了解不同受体之间的进化变化。