Neuroscience | Sciety

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Machine Learning Based Modelling of Human and Insect Olfaction Screens Millions of compounds to Identify Pleasant Smelling Insect Repellents

This article has 5 authors:
1. Joel Kowalewski
2. Sean M Boyle
3. Ryan Arvidson
4. Jadrian Ejercito
5. Anandasankar Ray
This article has been curated by 1 group:
- Curated by eLife
  
  eLife Assessment
  
  This useful study uses a chemoinformatics pipeline to identify a list of candidate mosquito repellants that may be pleasant to smell and safe for humans. The strength of evidence and in particular the computational methodology are incomplete because it is insufficiently benchmarked against other leading models. At the high concentrations tested, there may also be off-target effects of the repellents on the mosquitoes that are not considered.
Reviewed by eLife

This article has 9 evaluationsAppears in 1 listLatest version May 20, 2026Latest activity May 15, 2026

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