Sébastien Fiorucci

The paper identifies a single amino acid mutation in an odorant receptor that increases sensitivity to host plant volatiles in the lily moth Spodoptera picta.

The paper presents an ensemble model that improves predictions of perceptual similarity between odor mixtures using a curated dataset and collaborative challenge results.

This paper applies structure-based virtual screening to insect odorant receptors to accelerate ligand discovery, identifying new behaviorally active volatiles for non-pheromonal receptors.

The paper improves comparative modeling of mammalian bitter-taste receptors (TAS2Rs) by re-aligning sequences and constructing homology models, validated through site-directed mutagenesis and functional assays.