Network-based Protein Function Prediction

Network-Based Protein Function Prediction is a computational approach that infers the biological functions of proteins by analyzing their interaction patterns within protein-protein interaction networks, leveraging the topological properties and functional associations of neighboring proteins to propagate functional annotations.

276

Publications

19.7K

Citations

944

Authors

415

Institutions

Publications per year

2017–2026

81

Authors

944

  1. ML
    Min Li

    Central South University, China

    11 publications · 855 citations

    11

    h-index

  2. JW
    Jianxin Wang

    Central South University, China

    10 publications · 669 citations

    10

    h-index

  3. YP
    Yi Pan

    Georgia State University, United States

    9 publications · 648 citations

    9

    h-index

  4. TM
    Tijana Milenković

    University of Notre Dame, United States

    9 publications · 1.1K citations

    9

    h-index

  5. NP
    Nataša Pržulj

    Imperial College London, United Kingdom

    8 publications · 1.3K citations

    8

    h-index

1–5 of 944

Venues

  1. Bioinformatics

    35 publications · 4.6K citations

    27

    h-index

  2. PLoS ONE

    31 publications · 1.9K citations

    20

    h-index

  3. BMC Bioinformatics

    25 publications · 922 citations

    18

    h-index

  4. BMC Genomics

    11 publications · 454 citations

    11

    h-index

  5. Nucleic Acids Research

    9 publications · 1.5K citations

    9

    h-index

1–5