Metabolic Network Alignment

Metabolic Network Alignment is a computational method that identifies structurally or functionally conserved subnetworks across different metabolic networks by mapping corresponding reactions, compounds, and pathways based on biochemical and topological similarities.

15

Publications

881

Citations

72

Authors

30

Institutions

Publications per year

2017–2026

4

Authors

72

  1. RW
    Robert W. Harrison

    Georgia State University, United States

    2 publications · 41 citations

    2

    h-index

  2. QC
    Qiong Cheng

    DuPont (United States), United States

    2 publications · 41 citations

    2

    h-index

  3. AZ
    Alex Zelikovsky

    Georgia State University, United States

    2 publications · 41 citations

    2

    h-index

  4. JS
    Joel S. Bader

    Johns Hopkins University, United States

    1 publications · 10 citations

    1

    h-index

  5. SS
    S. S. Hayasaka

    Clemson University, United States

    1 publications · 60 citations

    1

    h-index

1–5 of 72

Venues

  1. Bioinformatics

    3 publications · 81 citations

    3

    h-index

  2. Biotechnology and Bioengineering

    1 publications · 52 citations

    1

    h-index

  3. BMC Bioinformatics

    1 publications · 30 citations

    1

    h-index

  4. Metabolic Engineering

    1 publications · 13 citations

    1

    h-index

  5. Scientific Reports

    1 publications · 19 citations

    1

    h-index

1–5