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DOR – a Database of Olfactory Receptors – Integrated Repository for Sequence and Secondary Structural Information of Olfactory Receptors in Selected Eukaryotic Genomes

Authors :
Kazhuhiko Fukui
Sadasivam Giji
Snehal D. Karpe
Balasubramanian Nagarathnam
Kannan Sankar
M. Michael Gromiha
K. Harini
Govidaraju Archunan
Wataru Nemoto
Veluchamy Balakrishnan
Ramanathan Sowdhamini
Mohammed Iftekhar
Durairaj Rajesh
Source :
Bioinformatics and Biology Insights, Vol 2014, Iss 8, Pp 147-158 (2014), Bioinformatics and Biology Insights, Bioinformatics and Biology Insights, Vol 8 (2014)
Publication Year :
2014
Publisher :
SAGE Publishing, 2014.

Abstract

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. � the authors, publisher and licensee Libertas Academica Limited.

Details

Language :
English
ISSN :
11779322
Volume :
2014
Issue :
8
Database :
OpenAIRE
Journal :
Bioinformatics and Biology Insights
Accession number :
edsair.doi.dedup.....0d2f8f6f208ac9a83c4d8debd02fe41a