Growth-coupled Selection

Growth-Coupled Selection is a selection pressure design strategy in which the survival or replication of biological or computational entities is made contingent upon the active contribution of a target function to system growth, thereby aligning evolutionary or optimization dynamics with desired functional outcomes.

8

Publications

322

Citations

54

Authors

19

Institutions

Publications per year

2017–2026

7

Authors

54

  1. MG
    Mitchell G. Thompson

    University of California, Berkeley, United States

    1 publications · 36 citations

    1

    h-index

  2. JZ
    Jingwen Zhou

    Jiangnan University, China

    1 publications · 51 citations

    1

    h-index

  3. GZ
    Guoqiang Zhang

    Fujian Agriculture and Forestry University, China

    1 publications · 51 citations

    1

    h-index

  4. PI
    Pablo I. Nikel

    Novo Nordisk Foundation, Denmark

    1 publications · 111 citations

    1

    h-index

  5. ZQ
    Zhina Qiao

    Jiangnan University, China

    1 publications · 48 citations

    1

    h-index

1–5 of 54

Venues

  1. ACS Synthetic Biology

    2 publications · 83 citations

    2

    h-index

  2. Nature Communications

    1 publications · 111 citations

    1

    h-index

  3. Nature Biotechnology

    1 publications · 36 citations

    1

    h-index

  4. Journal of Industrial Microbiology & Biotechnology

    JIM&B · 1 publications · 14 citations

    1

    h-index

  5. Genome Biology and Evolution

    GBE · 1 publications · 16 citations

    1

    h-index

1–5