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iORandLigandDB: A Website for Three-Dimensional Structure Prediction of Insect Odorant Receptors and Docking with Odorants
- Source :
- Insects, Vol 14, Iss 6, p 560 (2023)
- Publication Year :
- 2023
- Publisher :
- MDPI AG, 2023.
-
Abstract
- The use of insect-specific odorants to control the behavior of insects has always been a hot spot in research on “green” control strategies of insects. However, it is generally time-consuming and laborious to explore insect-specific odorants with traditional reverse chemical ecology methods. Here, an insect odorant receptor (OR) and ligand database website (iORandLigandDB) was developed for the specific exploration of insect-specific odorants by using deep learning algorithms. The website provides a range of specific odorants before molecular biology experiments as well as the properties of ORs in closely related insects. At present, the existing three-dimensional structures of ORs in insects and the docking data with related odorants can be retrieved from the database and further analyzed.
- Subjects :
- insect odorant receptors
insect-specific odorants
ligand docking
database
Science
Subjects
Details
- Language :
- English
- ISSN :
- 20754450
- Volume :
- 14
- Issue :
- 6
- Database :
- Directory of Open Access Journals
- Journal :
- Insects
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.234918201a2446688a6b799d4e608d9e
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/insects14060560