Irina A. Tarasova

The paper introduces msallsearchpy, a search engine for high-flow quantitative LC-MS proteomics, showing improved identification and quantification performance over existing methods.

This study investigates the mechanism of action of a Pt(IV) complex with lonidamine ligands using chemical proteomics in ovarian cancer cells, revealing its impact on glucose metabolism.

This paper introduces an ultrafast metaproteomics method using Orbitrap MS to rapidly and accurately assess microbial identity and functional activity without peptide fragmentation.

The paper introduces a modified decision tree model for proteomic data analysis, improving generalization across Alzheimer's disease datasets and identifying ferroptosis-related proteins as important in dementia resistance.

The paper reanalyzes proteomic datasets to identify ADAR-mediated RNA editing events and finds 18 core recoded protein sites across human tissues.

This study compares DirectMS1Quant, an MS1-only quantitation method, with MS/MS-based methods like LFQ, TMT, and DIA, showing comparable efficiency despite shorter runtime.

AA_stat improves interpretation of open search results in proteomics by adding features for mass shift localization, modification inference, and calibration.