Dynamic Metabolic Optimization

Dynamic Metabolic Optimization is a computational framework within pathway optimization that models and manipulates metabolic fluxes over time to achieve optimal phenotypic performance under dynamic environmental and physiological constraints.

28

Publications

1.8K

Citations

120

Authors

59

Institutions

Publications per year

2017–2026

13

Authors

120

  1. DA
    Diego A. Oyarzún

    Imperial College London, United Kingdom

    3 publications · 282 citations

    3

    h-index

  2. BI
    Brian Ingalls

    University of Waterloo, Canada

    2 publications · 78 citations

    2

    h-index

  3. RM
    Radhakrishnan Mahadevan

    University of Toronto, Canada

    2 publications · 213 citations

    2

    h-index

  4. CK
    Christoph Kaleta

    Christian-Albrechts-Universität zu Kiel, Germany

    2 publications · 55 citations

    2

    h-index

  5. SE
    Sebastián Espinel‐Ríos

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    2 publications · 47 citations

    2

    h-index

1–5 of 120

Venues

  1. Computers & Chemical Engineering

    3 publications · 97 citations

    3

    h-index

  2. Nature Communications

    3 publications · 269 citations

    3

    h-index

  3. Biotechnology and Bioengineering

    3 publications · 122 citations

    3

    h-index

  4. Metabolic Engineering

    2 publications · 236 citations

    2

    h-index

  5. Current Opinion in Systems Biology

    1 publications · 28 citations

    1

    h-index

1–5