Co-evolutionary Analysis

Co-Evolutionary Analysis is a computational method that identifies pairs or groups of residues in interacting proteins whose evolutionary changes are statistically correlated, thereby inferring functional or structural dependencies at protein interfaces.

585

Publications

35.7K

Citations

2.7K

Authors

1.2K

Institutions

Publications per year

2017–2026

217

Authors

2.7K

  1. PP
    P Paniccia

    University of Rome Tor Vergata, Italy

    4 publications · 149 citations

    4

    h-index

  2. GA
    Gianpaolo Abatecola

    University of Rome Tor Vergata, Italy

    4 publications · 128 citations

    4

    h-index

  3. PS
    Peter Samaš

    Palacký University Olomouc, Czechia

    3 publications · 144 citations

    3

    h-index

  4. MA
    Mario A. Fares

    Trinity College Dublin, Ireland

    3 publications · 175 citations

    3

    h-index

  5. HV
    Henk Volberda

    Erasmus University Rotterdam, Netherlands

    3 publications · 184 citations

    3

    h-index

1–5 of 2.7K

Venues

  1. Bioinformatics

    18 publications · 1.3K citations

    16

    h-index

  2. Scientific Reports

    17 publications · 590 citations

    15

    h-index

  3. PLoS ONE

    17 publications · 1.1K citations

    14

    h-index

  4. BMC Bioinformatics

    11 publications · 916 citations

    10

    h-index

  5. Nucleic Acids Research

    11 publications · 657 citations

    10

    h-index

1–5