Gene Knockout Simulation

Gene Knockout Simulation is a computational method in systems biology that systematically removes or inactivates specific gene-associated reactions from a metabolic model to predict the phenotypic consequences of genetic deletions on metabolic flux distributions and organismal growth.

20

Publications

1.7K

Citations

95

Authors

48

Institutions

Publications per year

2017–2026

8

Publications

20

Authors

95

  1. TY
    Tae Yong Kim

    University of Ulsan, South Korea

    4 publications · 1K citations

    4

    h-index

  2. SY
    Sang Yup Lee

    Korea Advanced Institute of Science and Technology, South Korea

    4 publications · 1K citations

    4

    h-index

  3. MH
    Manu Harju

    Tampere University, Finland

    1 publications · 19 citations

    1

    h-index

  4. DS
    Desmond S. Lun

    Rutgers, The State University of New Jersey, United States

    1 publications · 11 citations

    1

    h-index

  5. HA
    Henrikki Almusa

    Institute for Molecular Medicine Finland, Finland

    1 publications · 19 citations

    1

    h-index

1–5 of 95

Venues

  1. Biotechnology and Bioengineering

    2 publications · 124 citations

    2

    h-index

  2. Bioinformatics

    2 publications · 35 citations

    2

    h-index

  3. OMICS A Journal of Integrative Biology

    2 publications · 156 citations

    2

    h-index

  4. Microbial Cell Factories

    2 publications · 110 citations

    2

    h-index

  5. BMC Systems Biology

    2 publications · 115 citations

    2

    h-index

1–5