Computational Interaction Scoring

Computational Interaction Scoring is a computational method that quantifies the likelihood or strength of physical interactions between protein pairs based on predictive models, distinguishing it from experimental or qualitative interaction assessment approaches within protein-protein interaction analysis.

32

Publications

20.8K

Citations

164

Authors

83

Institutions

Publications per year

2017–2026

8

Authors

164

  1. JY
    Jingkai Yu

    Institute of Process Engineering, China

    3 publications · 101 citations

    3

    h-index

  2. SP
    Sampo Pyysalo

    University of Turku, Finland

    2 publications · 17.4K citations

    2

    h-index

  3. NT
    Nadezhda T. Doncheva

    University of Copenhagen, Denmark

    2 publications · 17.4K citations

    2

    h-index

  4. CV
    Christian von Mering

    University of Zurich, Switzerland

    2 publications · 17.4K citations

    2

    h-index

  5. RL
    Russell L. Finley

    Wayne State University, United States

    2 publications · 61 citations

    2

    h-index

1–5 of 164

Venues

  1. Nucleic Acids Research

    5 publications · 17.6K citations

    5

    h-index

  2. Proteins Structure Function and Bioinformatics

    2 publications · 254 citations

    2

    h-index

  3. PLoS Computational Biology

    2 publications · 179 citations

    2

    h-index

  4. Nature Methods

    2 publications · 616 citations

    2

    h-index

  5. Journal of Molecular Biology

    JMB · 2 publications · 289 citations

    2

    h-index

1–5