Engineering new ligands that specifically target multiple G protein-coupled receptors with desired activity profiles requires time-consuming and expensive cycles of design-make-test-analyse work. Now it has been shown that limited experimental data can be used to train sophisticated machine learning models to accurately predict the activity of previously uncharacterized peptide ligand variants.
- Anna M. Puszkarska
- Bruck Taddese
- Lucy J. Colwell
