Hezheng Lyu

The paper introduces ThermoTargetMiner, a database that identifies protein targets of lung cancer therapeutics using the PISA assay, revealing novel targets for 77% of tested compounds.

HOLSER improves proteome coverage and depth for structural analysis of protein-ligand interactions and conformational changes.

The paper improves target identification in chemical proteomics by using Fisher's method to aggregate peptide-level data instead of protein-level data.

The paper introduces AFDIP, a chemical proteomics method that identifies drug target binding sites with high structural resolution using digestion rate analysis and MD simulations.

The paper identifies a human-specific genomic structure formed by a joint segmental duplication that drives transcriptional readthrough and expression fine-tuning of NPEPPS-TBC1D3.

The paper introduces KISSE, a statistical framework for species identification using bone collagen tandem mass spectrometry data, which provides species identification and probability estimates.

The paper introduces OPTI-PISA, a method that automates and reduces sample requirements for drug target identification, demonstrating its effectiveness in cell lysates with sub-microgram samples.

The paper introduces GAPPIS, a method to recover molecular weight information from shotgun proteomics, identifying novel caspase 3 substrates in apoptotic cells.

This study simulates traumatic brain injury using a dummy head to generate g-force and shockwave, revealing proteome solubility changes and identifying shockwave as the main cause of irreversible cell damage.