Computational Strain Design

Computational Strain Design is a systematic methodology within systems metabolic engineering that employs computational models and algorithms to predict genetic and regulatory modifications enabling the optimization of microbial strains for desired biochemical production.

68

Publications

3.8K

Citations

273

Authors

105

Institutions

Publications per year

2017–2026

38

Authors

273

  1. SK
    Steffen Klamt

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    7 publications · 420 citations

    7

    h-index

  2. CD
    Costas D. Maranas

    Pennsylvania State University, United States

    6 publications · 662 citations

    6

    h-index

  3. AC
    Anupam Chowdhury

    Pennsylvania State University, United States

    4 publications · 269 citations

    4

    h-index

  4. RM
    Radhakrishnan Mahadevan

    University of Toronto, Canada

    4 publications · 240 citations

    4

    h-index

  5. AV
    Axel von Kamp

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    4 publications · 274 citations

    4

    h-index

1–5 of 273

Venues

  1. Bioinformatics

    8 publications · 218 citations

    8

    h-index

  2. Microbial Cell Factories

    5 publications · 316 citations

    5

    h-index

  3. Biotechnology and Bioengineering

    5 publications · 520 citations

    5

    h-index

  4. PLoS Computational Biology

    5 publications · 308 citations

    5

    h-index

  5. Metabolic Engineering

    4 publications · 285 citations

    4

    h-index

1–5