Abstract: A computer-implemented method for predicting whether a molecule will be a good mosquito repellent is disclosed. The method includes obtaining a machine-learned prediction model obtained by transfer learning. The model has been trained using a first, larger training dataset for an odour prediction task and with a second, smaller training dataset for predicting whether a molecule would function as a mosquito repellent. The method further includes obtaining input data that describes a chemical structure of a selected molecule, providing the input data that describes the chemical structure of the selected molecule as input to the machine-learned prediction model, receiving prediction data descriptive of whether the selected molecule would be a good mosquito repellent as an output of the machine-learned sensory prediction model and providing the prediction data as output.
Type:
Application
Filed:
November 12, 2021
Publication date:
January 18, 2024
Applicant:
Osmo Labs, PBC
Inventors:
Alexander Wiltschko, Wei Qian, Jennifer Wei, Benjamin Manuel Sanchez-Lengeling, Brian Kihoon Lee, Yiliu Wang