Barbara M. Bakker

The paper constructs an ensemble of kinetic models of mitochondrial fatty acid oxidation to link residual enzyme activity to clinical symptoms in inherited fatty-acid oxidation deficiencies.

This study uses proteomics to compare serum and liver samples from GSD Ia and Ib patients, identifying subtype-specific biomarkers and pathways linked to disease complications.

The paper profiles serum N-glycans in GSD Ia and Ib patients and controls, identifying subtype-specific glycomic alterations and potential biomarkers for disease subtyping and tumor surveillance.

The paper introduces a method combining simulated and real metabolomics data using tensor factorization to improve pattern discovery, showing better performance in males for BMI-related phenotypes.

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

This study evaluates CP models for analyzing postprandial metabolomics data through simulations, showing their effectiveness in revealing metabolic patterns and group differences.

This study successfully humanizes the entire glycolytic pathway in yeast, revealing conserved functions and context-dependent responses.

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.

The paper develops an agent-based model of lipoprotein metabolism to investigate how high plasma triglycerides lead to low HDL cholesterol, finding that excess surface lipids from VLDL are cleared independently of HDL.