Interaction Partner Prediction

Interaction Partner Prediction is a computational method within protein-protein interaction analysis that identifies potential binding proteins for a given target protein based on molecular, structural, or functional features distinguishing it from general interaction detection approaches.

94

Publications

5.6K

Citations

432

Authors

200

Institutions

Publications per year

2017–2026

24

Authors

432

  1. AC
    Alessandra Carbone

    Sorbonne Université, France

    3 publications · 126 citations

    3

    h-index

  2. AB
    Anne‐Florence Bitbol

    Centre National de la Recherche Scientifique, France

    3 publications · 241 citations

    3

    h-index

  3. RR
    Ratna R. Thangudu

    National Cancer Institute, United States

    2 publications · 170 citations

    2

    h-index

  4. YW
    Yunxia Wang

    Yangzhou University, China

    2 publications · 98 citations

    2

    h-index

  5. JH
    Jessica H. Fong

    National Center for Biotechnology Information, United States

    2 publications · 170 citations

    2

    h-index

1–5 of 432

Venues

  1. PLoS ONE

    8 publications · 342 citations

    8

    h-index

  2. Nucleic Acids Research

    7 publications · 529 citations

    7

    h-index

  3. Bioinformatics

    6 publications · 631 citations

    6

    h-index

  4. PLoS Computational Biology

    6 publications · 247 citations

    6

    h-index

  5. BMC Bioinformatics

    5 publications · 224 citations

    5

    h-index

1–5