Binary Contact Classification

Binary Contact Classification is a computational prediction task in structural bioinformatics that categorizes pairs of amino acid residues in a protein sequence as either in contact or not in contact based on a predefined distance threshold in three-dimensional space.

17

Publications

666

Citations

267

Authors

70

Institutions

Publications per year

2017–2026

7

Authors

267

  1. AW
    Alan W. Harris

    Jet Propulsion Laboratory, United States

    2 publications · 54 citations

    2

    h-index

  2. SM
    S. M. Ruciński

    University of Toronto, Canada

    2 publications · 77 citations

    2

    h-index

  3. BG
    B. G. Williams

    Jet Propulsion Laboratory, United States

    1 publications · 168 citations

    1

    h-index

  4. CL
    Chunlai Li

    Chinese Academy of Sciences, China

    1 publications · 75 citations

    1

    h-index

  5. RD
    Rajani D. Dhingra

    University of Idaho, United States

    1 publications · 168 citations

    1

    h-index

1–5 of 267

Venues

  1. Astrophysics and Space Science

    2 publications · 33 citations

    2

    h-index

  2. 2

    h-index

  3. Icarus

    2 publications · 54 citations

    2

    h-index

  4. MATHEMATICA SCANDINAVICA

    1 publications · 14 citations

    1

    h-index

  5. BMC Bioinformatics

    1 publications · 55 citations

    1

    h-index

1–5