Secondary Structure Classification

Secondary Structure Classification is a computational method that categorizes local folded structures of polypeptide chains into distinct types such as alpha-helices, beta-sheets, and coils based on patterns of hydrogen bonding and backbone dihedral angles.

596

Publications

73.6K

Citations

2K

Authors

770

Institutions

Publications per year

2017–2026

65

Authors

2K

  1. LK
    Lukasz Kurgan

    University of Alberta, Canada

    6 publications · 473 citations

    6

    h-index

  2. SJ
    Stavros J. Hamodrakas

    National and Kapodistrian University of Athens, Greece

    5 publications · 190 citations

    5

    h-index

  3. TL
    Tom L. Blundell

    University of Cambridge, United Kingdom

    5 publications · 646 citations

    5

    h-index

  4. MM
    M. Michael Gromiha

    Indian Institute of Technology Madras, India

    5 publications · 290 citations

    5

    h-index

  5. MK
    Martin Karplus

    Harvard University, United States

    5 publications · 819 citations

    5

    h-index

1–5 of 2K

Venues

  1. Nucleic Acids Research

    39 publications · 9.2K citations

    33

    h-index

  2. Proteins Structure Function and Bioinformatics

    23 publications · 3.9K citations

    20

    h-index

  3. Journal of Molecular Biology

    JMB · 23 publications · 7.2K citations

    20

    h-index

  4. Protein Science

    PS · 23 publications · 3.1K citations

    19

    h-index

  5. FEBS Letters

    18 publications · 1.2K citations

    16

    h-index

1–5