A Systematic Comparison of In-Context Learning Strategies for Peptide Property Prediction in Low-Data Regimes

Jiantao Zhao, Andrei Voinea, Mathijs F. J. Mabesoone

Peptide sequence-property relationships are often highly non-linear, but can be learned with machine learning models and exploited for the design of new materials and bioactive com…