ArticleChemical senses2019
Sequence-Based Prediction of Olfactory Receptor Responses.
Article in Chemical senses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- iBio-GATS-A Semi-Automated Workflow for Structural Modelling of Insect Odorant Receptors.International journal of molecular sciences · 2024Article
- Helix encoder: a compound-protein interaction prediction model specifically designed for class A GPCRs.Frontiers in bioinformatics · 2023Article
- Functional olfactory evolution iniScience · 2022Article
- Large-Scale G Protein-Coupled Olfactory Receptor-Ligand Pairing.ACS central science · 2022Article
- Mosquito Olfactory Response Ensemble enables pattern discovery by curating a behavioral and electrophysiological response database.iScience · 2022Article
- Odorant receptor phylogeny confirms conserved channels for sex pheromone and host plant signals in tortricid moths.Ecology and evolution · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Computational prediction of how strongly an olfactory receptor (OR) responds to various odors can help in bridging the widening gap between the large number of receptors that have been sequenced and the small number of experiments measuring their responses. Previous efforts in this area have predicted the responses of a receptor to some odors, using the known responses of the same receptor to other odors. Here, we present a method to predict the responses of a receptor without any known responses by using available data about the responses of other conspecific receptors and their sequences. We applied this method to ORs in insects Drosophila melanogaster (both adult and larva) and Anopheles gambiae and to mouse and human ORs. We found the predictions to be in significant agreement with the experimental measurements. The method also provides clues about the response-determining positions within the receptor sequences.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.