Joerg Doellinger

This study evaluates proteomics for rapid detection of antibiotic resistance and species identification of ESKAPE pathogens from clinical isolates, achieving high specificity and sensitivity.

This study identifies GpsB as an activator of PrkA, a PASTA kinase, and shows that ReoM phosphorylation is regulated by growth phase and phosphatase PrpC, with MurA's conformation and interaction with ReoM playing a key role.

This study compares protein expression changes in SARS-CoV and SARS-CoV-2 infected Calu-3 cells, revealing stronger interferon-stimulated gene induction by SARS-CoV-2.

The paper optimizes data-independent acquisition (DIA) proteomics by combining in silico libraries, advanced separation, and neural network analysis to achieve high coverage and accuracy.

TaxIt is an iterative pipeline for strain-level classification using MS/MS spectra, improving accuracy over non-iterative methods by incorporating strain data and abundance weighting.

The paper introduces a detergent-free proteomics sample preparation method called SPEED, which outperforms existing protocols in protein quantification and reproducibility.