A mathematical program produced by Princeton University researchers boosts the discovery of therapeutic peptides. While the discovery rate of new therapeutic peptides continues to rise, the near endless number of possible amino acid combinations in a peptide, coupled with the abilities of technology currently used for drug discovery, have limited the researchers’ ability to discover new, promising therapeutic peptides. Princeton’s mathematical optimization tool can help reveal the vast landscape of possible drug candidates, enabling faster pharmaceutical development.
