Agnieszka B. Wegrzyn

This study identifies metabolic targets in breast cancer by analyzing multi-omics data from cell lines, revealing subtype-specific dependencies and potential drug targets.

XomicsToModel integrates multi-omics data with a generic metabolic model to generate context-specific, thermodynamically consistent metabolic models.

mzQuality is a software tool for quality control in metabolomics data that corrects technical variation and prepares data for analysis.

fluxTrAM automates processing of tracer-based metabolomics data and integrates it with genome-scale metabolic models for flux analysis.

This paper develops a computational model of amino acid and neurotransmitter metabolism in PKU to identify therapeutic strategies for improving cognitive function.

The paper develops genome-scale metabolic models of human dopaminergic neurons to study metabolic dysfunction in Parkinson's disease using exometabolomic and transcriptomic data.

The paper uses a fibroblast-specific genome-scale model to identify metabolic imbalances in Refsum disease, highlighting amino acid metabolism changes.

The paper presents a revised human metabolic model that accurately incorporates flavin cofactors, improving predictions of metabolic impacts and biomarkers in flavoproteome-related diseases.