Proteomics-constrained Modeling

Proteomics-Constrained Modeling is a genome-scale metabolic modeling approach that integrates quantitative proteomics data to constrain reaction fluxes, thereby refining model predictions by ensuring consistency between enzyme abundance and metabolic capacity.

12

Publications

739

Citations

65

Authors

44

Institutions

Publications per year

2017–2026

8

Authors

65

  1. JN
    Jens Nielsen

    Chalmers University of Technology, Sweden

    5 publications · 340 citations

    5

    h-index

  2. EJ
    Eduard J. Kerkhoven

    Chalmers University of Technology, Sweden

    4 publications · 262 citations

    4

    h-index

  3. VS
    Verena Siewers

    Chalmers University of Technology, Sweden

    3 publications · 181 citations

    3

    h-index

  4. ID
    Iván Domenzain

    Chalmers University of Technology, Sweden

    3 publications · 181 citations

    3

    h-index

  5. AM
    Aarón Millán-Oropeza

    Université Paris-Saclay, France

    3 publications · 181 citations

    3

    h-index

1–5 of 65

Venues

  1. PLoS Computational Biology

    2 publications · 211 citations

    2

    h-index

  2. BMC Systems Biology

    2 publications · 92 citations

    2

    h-index

  3. Nature Communications

    2 publications · 223 citations

    2

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 23 citations

    1

    h-index

  5. Scientific Reports

    1 publications · 44 citations

    1

    h-index

1–5