Hong Zeng

The paper uses high-throughput affinity-selection mass spectrometry to identify protein targets of ToxCast and PFAS compounds, discovering novel interactions and revealing distinct binding patterns of legacy and replacement PFAS.

This study develops a bioluminescence-based assay to kinetically characterize three human RNA helicases and establishes a high-throughput method for inhibitor discovery.

The paper evaluates computational hit-finding methods for targeting the WDR domain of LRRK2, a Parkinson's disease protein, finding that diverse strategies yielded weakly potent compounds.

The paper develops a resource for discovering ligands for WDR proteins using experimental and computational methods, leading to the identification of drug-like ligands for 9 out of 20 targets.

The paper identifies a first-in-class small molecule ligand for WDR91 using DNA-encoded chemical library selection and machine learning, leading to the discovery of covalent analogs and structural insights.

The paper investigates the dynamic structure of the MLL1 catalytic complex and shows it can be disrupted by pharmacological agents targeting specific interaction sites.