Metabolic Burden Optimization

Metabolic Burden Optimization is a computational and experimental methodology in synthetic biology that systematically minimizes the energetic and resource-based constraints imposed by heterologous gene expression on host cellular processes to enhance the performance and stability of whole-cell biosensors.

28

Publications

2.1K

Citations

146

Authors

56

Institutions

Publications per year

2017–2026

15

Authors

146

  1. DS
    Dhinakar S. Kompala

    University of Colorado Boulder, United States

    3 publications · 681 citations

    3

    h-index

  2. WE
    William E. Bentley

    University of Maryland, College Park, United States

    2 publications · 635 citations

    2

    h-index

  3. DC
    Dana C. Andersen

    University of Alberta, Canada

    2 publications · 635 citations

    2

    h-index

  4. NM
    N. Mirjalili

    University College London, United Kingdom

    2 publications · 635 citations

    2

    h-index

  5. KB
    Karl Bayer

    BOKU University, Austria

    2 publications · 97 citations

    2

    h-index

1–5 of 146

Venues

  1. Biotechnology Progress

    3 publications · 141 citations

    3

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 174 citations

    2

    h-index

  3. Applied Microbiology and Biotechnology

    2 publications · 82 citations

    2

    h-index

  4. Biotechnology and Bioengineering

    2 publications · 635 citations

    2

    h-index

  5. Nature Communications

    2 publications · 109 citations

    2

    h-index

1–5