Levon Halabelian

The paper shows that BAY-805 induces USP21-KLHL12 association, recruiting USP21 to COPII vesicles and impairing large cargo transport.

The paper maps over 20,000 human protein-protein interactions mediated by short linear motifs using a peptide library screening approach.

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 introduces E-ASMS, a method to detect weak binders and assess enantioselectivity, identifying 16 binders across 12 human protein targets with confirmed binding mechanisms.

The paper identifies a small molecule ligand for the HTT-HAP40 complex using AS-MS and validates its binding through multiple techniques, highlighting a druggable interface for HD therapeutics.

The paper describes the enantioselective resolution of a chemical probe targeting CHIKV nsP2 helicase, showing potent antiviral activity for one enantiomer and low activity for the other.

This paper identifies and optimizes oxaspiropiperidine inhibitors targeting nsP2hel, showing nanomolar antiviral activity against multiple alphaviruses.

The paper identifies UNC10013, a covalent ligand targeting SETDB1's 3TD domain, which reduces methyltransferase activity and shows selectivity in cells.

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.