Graph-theoretic Pathway Modeling

Graph-Theoretic Pathway Modeling is a computational framework that represents biological pathways as directed graphs, where nodes denote molecular entities and edges represent biochemical interactions, enabling the systematic analysis of pathway structure, connectivity, and functional flow through graph-theoretical principles.

39

Publications

2.5K

Citations

150

Authors

95

Institutions

Publications per year

2017–2026

13

Authors

150

  1. TM
    T. M. Murali

    Virginia Tech, United States

    3 publications · 94 citations

    3

    h-index

  2. SD
    Sorin Drăghici

    Wayne State University, United States

    2 publications · 57 citations

    2

    h-index

  3. GS
    Gabriele Sales

    University of Padua, Italy

    2 publications · 350 citations

    2

    h-index

  4. SK
    Steffen Klamt

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    2 publications · 611 citations

    2

    h-index

  5. CR
    Chiara Romualdi

    University of Padua, Italy

    2 publications · 350 citations

    2

    h-index

1–5 of 150

Venues

  1. Bioinformatics

    3 publications · 394 citations

    3

    h-index

  2. BMC Bioinformatics

    2 publications · 229 citations

    2

    h-index

  3. F1000Research

    2 publications · 60 citations

    2

    h-index

  4. PLoS ONE

    2 publications · 123 citations

    2

    h-index

  5. Nucleic Acids Research

    2 publications · 154 citations

    2

    h-index

1–5