Condition-specific Metabolic Modeling

Condition-Specific Metabolic Modeling is a genome-scale metabolic modeling approach that refines a generic metabolic network into a context-specific instance by integrating omics data and physiological constraints to accurately represent metabolic behavior under defined environmental or cellular conditions.

15

Publications

741

Citations

53

Authors

31

Institutions

Publications per year

2017–2026

9

Variants

Context-specific Metabolic Modeling

Authors

53

  1. BØ
    Bernhard Ø. Palsson

    University of California San Diego, United States

    2 publications · 226 citations

    2

    h-index

  2. CA
    Claudio Angione

    Teesside University, United Kingdom

    2 publications · 103 citations

    2

    h-index

  3. VP
    Vikash Pandey

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 19 citations

    1

    h-index

  4. JJ
    James J. Kelley

    Rutgers, The State University of New Jersey, United States

    1 publications · 75 citations

    1

    h-index

  5. IT
    Ines Thiele

    University of Luxembourg, Luxembourg

    1 publications · 74 citations

    1

    h-index

1–5 of 53

Venues

  1. PLoS Computational Biology

    2 publications · 106 citations

    2

    h-index

  2. Scientific Reports

    1 publications · 15 citations

    1

    h-index

  3. Bioinformatics

    1 publications · 136 citations

    1

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 19 citations

    1

    h-index

  5. Metabolites

    1 publications · 22 citations

    1

    h-index

1–5