Computational Strain Optimization

Computational Strain Optimization is a computational method that identifies genetic and regulatory modifications in microbial strains to optimize metabolic pathways for enhanced production of target compounds, distinguishing itself from broader modeling approaches by specifically focusing on strain design for biotechnological objectives.

89

Publications

6.2K

Citations

342

Authors

149

Institutions

Publications per year

2017–2026

34

Authors

342

  1. MR
    Miguel Rocha

    University of Minho, Portugal

    5 publications · 571 citations

    5

    h-index

  2. IR
    Isabel Rocha

    University of Minho, Portugal

    4 publications · 539 citations

    4

    h-index

  3. SK
    Steffen Klamt

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    4 publications · 255 citations

    4

    h-index

  4. CD
    Costas D. Maranas

    Pennsylvania State University, United States

    4 publications · 1.9K citations

    4

    h-index

  5. JW
    Jianping Wen

    Tianjin University, China

    3 publications · 170 citations

    3

    h-index

1–5 of 342

Venues

  1. Bioresource Technology

    6 publications · 141 citations

    6

    h-index

  2. Biotechnology and Bioengineering

    6 publications · 1.4K citations

    6

    h-index

  3. Bioinformatics

    5 publications · 376 citations

    5

    h-index

  4. Microbial Cell Factories

    4 publications · 271 citations

    4

    h-index

  5. Applied Microbiology and Biotechnology

    4 publications · 228 citations

    4

    h-index

1–5