Mapping the combinatorial coding between olfactory receptors and perception with deep learning

Short summary

A new deep learning model, MolOR, predicts odor percepts by first mapping odorant molecules to their olfactory receptor (OR) activation profiles, improving percept prediction by 15% and revealing that structurally different molecules with similar smells activate similar OR combinations.

AI-generated from the title and abstract; the full text is not read.