Lulu Kang

FARM: Forecasting Antibiotic Resistance in Mycobacterium tuberculosis using biophysics and machine learning

The paper develops FARM, a framework to predict antibiotic resistance in Mycobacterium tuberculosis by combining biophysical and machine learning features, achieving high accuracy in distinguishing resistance-associated variants.

Linking biochemical and cellular efficacy of MERS coronavirus main protease inhibitors

The paper compares three data analysis methods for MERS-CoV MPro inhibitors, finding that modeling the complete concentration-response curve best predicts cellular efficacy.

Enzyme kinetics model for the coronavirus main protease including dimerization and ligand binding

The paper develops a kinetic model of the coronavirus main protease incorporating dimerization and ligand binding, showing how inhibitors and substrates affect enzyme activity differently.