Michal Šála

BATTLE-AMP benchmarks antimicrobial peptide predictors using MIC data, showing that models trained on MIC data outperform binary classifiers and highlighting limitations in distinguishing active from inactive peptides.

This study designs and synthesizes fluorinated cGAMP analogs that are stable against poxin cleavage and show high STING activation, with structural insights into their binding modes.