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].