M2OR: a database of olfactory receptor–odorant pairs for understanding the molecular mechanisms of olfaction
- Others:
- Institut de Chimie de Nice (ICN) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA) ; Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE)-Institut Agro Dijon ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
- French National Research Agency (PhD fellowship to M.H.); Fondation Roudnitska under the aegis of Fondation de France (PhD fellowship to M.L.); GIRACT; Centre National de la Recherche Scientifique (CNRS) through the MITI interdisciplinary program.
- ANR-19-CE07-0044,chemosim,conception rationelle de composés ciblant le gout, les odeurs et leurs emotions(2019)
Description
Mammalian sense of smell is triggered by interaction between odorant molecules and a class of proteins, called olfactory receptors (ORs). These receptors, expressed at the surface of olfactory sensory neurons, encode myriad of distinct odors via a sophisticated activation pattern. However, determining the molecular recognition spectrum of ORs remains a major challenge. The Molecule to Olfactory Receptor database (M2OR, https://m2or.chemsensim.fr/) provides curated data that allows an easy exploration of the current state of the research on OR-molecule interaction. We have gathered a database of 75,050 bioassay experiments for 51 395 distinct OR-molecule pairs. Drawn from published literature and public databases, M2OR contains information about OR responses to molecules and their mixtures, receptor sequences and experimental details. Users can obtain information on the activity of a chosen molecule or a group of molecules, or search for agonists for a specific OR or a group of ORs. Advanced search allows for fine-grained queries using various metadata such as species or experimental assay system, and the database can be queried by multiple inputs via a batch search. Finally, for a given search query, users can access and download a curated aggregation of the experimental data into a binarized combinatorial code of olfaction.
Abstract
Issue Section: Database Issue.
Abstract
International audience
Additional details
- URL
- https://hal.inrae.fr/hal-04345122
- URN
- urn:oai:HAL:hal-04345122v1
- Origin repository
- UNICA