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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.

We used version 2 of the Cochrane risk-of-bias tool for randomised trials to assess risk of bias for the primary outcome

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