Residue Pair Classification

Residue Pair Classification is a computational task in structural bioinformatics that categorizes pairs of amino acid residues in a protein sequence based on their spatial proximity or interaction likelihood to facilitate residue-residue distance prediction.

115

Publications

7.9K

Citations

336

Authors

179

Institutions

Publications per year

2017–2026

24

Authors

336

  1. GP
    Gajendra P. S. Raghava

    Institute of Microbial Technology, India

    3 publications · 78 citations

    3

    h-index

  2. MM
    M. Michael Gromiha

    Indian Institute of Technology Madras, India

    3 publications · 155 citations

    3

    h-index

  3. RB
    Robert Brasseur

    Gembloux Agro-Bio Tech, Belgium

    2 publications · 132 citations

    2

    h-index

  4. AC
    Alex C.W. May

    Birkbeck, University of London, United Kingdom

    2 publications · 80 citations

    2

    h-index

  5. RL
    Rong Liu

    Huazhong Agricultural University, China

    2 publications · 33 citations

    2

    h-index

1–5 of 336

Venues

  1. Proteins Structure Function and Bioinformatics

    16 publications · 734 citations

    14

    h-index

  2. Bioinformatics

    8 publications · 715 citations

    8

    h-index

  3. Journal of Theoretical Biology

    7 publications · 310 citations

    7

    h-index

  4. Protein Engineering Design and Selection

    PEDS · 5 publications · 116 citations

    5

    h-index

  5. BMC Bioinformatics

    5 publications · 280 citations

    5

    h-index

1–5