Metabolic Flux Optimization

Metabolic Flux Optimization is a computational or mathematical framework designed to identify optimal distributions of metabolic reaction rates within a biochemical network that maximize or minimize a specified physiological objective, such as growth rate or precursor production, under defined constraints.

81

Publications

4.7K

Citations

301

Authors

136

Institutions

Publications per year

2017–2026

19

Authors

301

  1. SY
    Sang Yup Lee

    Korea Advanced Institute of Science and Technology, South Korea

    3 publications · 82 citations

    3

    h-index

  2. FJ
    Frank J. Bruggeman

    Vrije Universiteit Amsterdam, Netherlands

    3 publications · 271 citations

    3

    h-index

  3. BØ
    Bernhard Ø. Palsson

    University of California San Diego, United States

    3 publications · 437 citations

    3

    h-index

  4. BT
    Bas Teusink

    Vrije Universiteit Amsterdam, Netherlands

    3 publications · 257 citations

    3

    h-index

  5. JM
    Jeno M. Scharer

    University of Waterloo, Canada

    2 publications · 66 citations

    2

    h-index

1–5 of 301

Venues

  1. Biotechnology and Bioengineering

    8 publications · 792 citations

    8

    h-index

  2. Computers & Chemical Engineering

    5 publications · 117 citations

    5

    h-index

  3. PLoS Computational Biology

    5 publications · 717 citations

    5

    h-index

  4. Journal of Theoretical Biology

    5 publications · 360 citations

    5

    h-index

  5. BMC Systems Biology

    4 publications · 173 citations

    4

    h-index

1–5