Abstract
The olfactory receptors constitute over 1000 genes, making it the largest family in the genome. The completion of the human and mouse genomes presents a tremendous challenge to understanding the odor ligand affinities of these receptors and their relation to odor processing in the olfactory system. We describe briefly the practical use of a set of databases in the SenseLab project (http://senselab.med.yale.edu/) that is devoted to this problem. Olfactory Receptor Database (ORDB) archives almost 2000 sequences, and provides tools for their analysis by type. OdorDB stores data about the structures of odor molecules and their affinities for different olfactory receptors, as established by studies in expression systems. Odor simulation gives rise to odor maps in the olfactory bulb which is believed to be a basis for odor discrimination. OdorMapDB provides a site for integration of data from odor mapping studies by different methods. These databases thus enable students and researchers to integrate molecular analysis of olfactory receptors with the functional organization of the olfactory system to understand the neural basis of the sense of smell.
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Crasto, C.J., Liu, N., Shepherd, G.M. (2003). Databases for the Functional Analyses of Olfactory Receptors. In: Kötter, R. (eds) Neuroscience Databases. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1079-6_3
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DOI: https://doi.org/10.1007/978-1-4615-1079-6_3
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