Metabolomics-constrained Modeling

Metabolomics-Constrained Modeling is a genome-scale metabolic modeling approach that integrates experimentally measured metabolite abundance data to conditionally restrict metabolic flux predictions, thereby distinguishing itself from other constraint-based methods by explicitly incorporating metabolomics data as physiological boundaries.

11

Publications

549

Citations

76

Authors

36

Institutions

Publications per year

2017–2026

6

Authors

76

  1. BØ
    Bernhard Ø. Palsson

    University of California San Diego, United States

    2 publications · 116 citations

    2

    h-index

  2. US
    Uwe Sauer

    ETH Zurich, Switzerland

    2 publications · 191 citations

    2

    h-index

  3. MZ
    Mattia Zampieri

    ETH Zurich, Switzerland

    2 publications · 191 citations

    2

    h-index

  4. LM
    Lavanya Madugulla

    Tata Consultancy Services (India), India

    1 publications · 47 citations

    1

    h-index

  5. AT
    Andrej Trauner

    University of Basel, Switzerland

    1 publications · 37 citations

    1

    h-index

1–5 of 76

Venues

  1. Nature Communications

    2 publications · 195 citations

    2

    h-index

  2. Molecular BioSystems

    1 publications · 57 citations

    1

    h-index

  3. Phytomedicine

    1 publications · 37 citations

    1

    h-index

  4. Methods in molecular biology

    Book series · 1 publications · 59 citations

    1

    h-index

  5. Metabolites

    1 publications · 25 citations

    1

    h-index

1–5