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  • Oral presentation
  • Open Access

The database of odor responses (DoOR) - Mapping the fruit fly's odor space

  • 1
Flavour20143 (Suppl 1) :O21

  • Published:


  • Response Spectrum
  • Olfactory Receptor
  • Antennal Lobe
  • Response Matrice
  • Receptor Array

The database of odor responses (DoOR) is a repository for odor response measurements in the fruit fly Drosophila melanogaster. Olfactory receptors have broad, overlapping response spectra, and olfactory coding relies on activity patterns across the entire receptor array. It is therefore of interest to record receptor responses to a large set of odorant molecules, as opposed to only finding the respective best ligand.

The fruit fly has since long served as a model organism, resulting in a large number of odor response measurements that are available in the literature. Going beyond archiving the (odorant x receptor) response matrices from a growing number of studies on Drosophila olfaction, DoOR also provides a consensus matrix that integrates data from different studies using different techniques [1]. Such data integration leads to a larger odor response space than available from any single study.

Apart from encyclopedic applications, DoOR can be used e.g. to estimate odor (dis)similarity as "perceived" by Drosophila, and it has already served as realistic input data for a modelling study on odor processing in the antennal lobe [2]. DoOR is available both as a web-based GUI and as package for the R platform [3].

Authors’ Affiliations

University of Konstanz, Germany


  1. Galizia CG, Münch D, Strauch M, Nissler A, Ma S: Integrating heterogeneous odor response data into a common response model: A DoOR to the complete olfactome. Chem Senses. 2010, 35: 551-63.PubMed CentralView ArticlePubMedGoogle Scholar
  2. Proske JH, Wittmann M, Galizia CG: Olfactory sensor processing in neural networks: lessons from modeling the fruit fly antennal lobe. Front Neuroeng. 2012, 5: 2-PubMed CentralView ArticlePubMedGoogle Scholar
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© Strauch; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.