Marcus Bantscheff

PeptideForest improves peptide identification by integrating multiple search engines and increases PSMs with q-value <1% without compromising quantification quality.

The paper uses proteomics to identify secreted markers linked to drug-induced liver injury and adverse drug reactions by analyzing the secretome of hepatocytes exposed to various drugs.

The paper integrates Thermal Proteome Profiling with phosphoproteomic and transcriptomic data using network models to uncover molecular responses to PARP inhibition in ovarian cancer.

The paper characterizes gene and protein expression changes in NGLY1 deficiency using patient-derived cells and provides a web resource for the data.

This paper introduces a Bayesian semi-parametric model to analyze thermal proteome profiling data, improving sensitivity and identifying new drug-protein associations.

The paper develops a statistical method to analyze thermal proteome profiles and identifies off-target drug interactions in epigenetic drugs.

This paper introduces NPARC, a non-parametric method for analyzing thermal proteome profiles to identify drug-binding proteins with improved specificity and sensitivity.

This study quantifies ATP's proteome-wide interactions with protein solubility and thermal stability, revealing concentration-dependent roles in protein structure, complex stability, and phase transitions.

This study introduces tissue-TPP and blood-CETSA to measure proteome thermal stability, revealing organ physiology and drug-target engagement in vivo.