Use of machine learning to identify novel, behaviorally active antagonists of the insect odorant receptor co-receptor (Orco) subunit (2019)
- Authors:
- Autor USP: LEAL, WALTER SOARES - ESALQ
- Unidade: ESALQ
- DOI: 10.1038/s41598-019-40640-4
- Subjects: ANOPHELES; ANTAGONISTAS; APRENDIZADO COMPUTACIONAL; COMPOSTOS VOLÁTEIS; DROSOPHILA; MOSQUITOS; OLFATO; RECEPTORES SENSORIAIS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Scientific Reports
- ISSN: 2045-2322
- Volume/Número/Paginação/Ano: v. 9, art. 4055, p. 1-18, 2019
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
KEPCHIA, Devin et al. Use of machine learning to identify novel, behaviorally active antagonists of the insect odorant receptor co-receptor (Orco) subunit. Scientific Reports, v. 9, p. 1-18, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-40640-4. Acesso em: 10 jan. 2026. -
APA
Kepchia, D., Xu, P., Terryn, R., Castro, A., Schürer, S. C., Leal, W. S., & Luetje, C. W. (2019). Use of machine learning to identify novel, behaviorally active antagonists of the insect odorant receptor co-receptor (Orco) subunit. Scientific Reports, 9, 1-18. doi:10.1038/s41598-019-40640-4 -
NLM
Kepchia D, Xu P, Terryn R, Castro A, Schürer SC, Leal WS, Luetje CW. Use of machine learning to identify novel, behaviorally active antagonists of the insect odorant receptor co-receptor (Orco) subunit [Internet]. Scientific Reports. 2019 ; 9 1-18.[citado 2026 jan. 10 ] Available from: https://doi.org/10.1038/s41598-019-40640-4 -
Vancouver
Kepchia D, Xu P, Terryn R, Castro A, Schürer SC, Leal WS, Luetje CW. Use of machine learning to identify novel, behaviorally active antagonists of the insect odorant receptor co-receptor (Orco) subunit [Internet]. Scientific Reports. 2019 ; 9 1-18.[citado 2026 jan. 10 ] Available from: https://doi.org/10.1038/s41598-019-40640-4 - Crystal and solution structures of an odorant-binding protein from the southern house mosquito complexed with an oviposition pheromone
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Informações sobre o DOI: 10.1038/s41598-019-40640-4 (Fonte: oaDOI API)
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