Jokent T. Gaza

The paper validates and analyzes 12,000 AI-designed CAR-T binders from a global competition, identifying successful designs and factors improving their performance.

The paper introduces an active learning strategy using Thompson sampling to efficiently screen peptide libraries with AlphaFold-based binding predictions, achieving significant improvements over random sampling.

This paper introduces HELM, a hybrid clustering method combining k-means efficiency with hierarchical flexibility, and demonstrates its application to protein-DNA and protein folding simulations.

The paper introduces PERRC, a platform for engineering protease specificity by controlling reactant residence time, resulting in a protease variant with high selectivity for a closely related substrate.