Sequence-based Fold Recognition

Sequence-Based Fold Recognition is a computational method in structural bioinformatics that identifies a protein's three-dimensional fold by analyzing its amino acid sequence, without relying on explicit structural templates or homology modeling.

286

Publications

29.8K

Citations

767

Authors

322

Institutions

Publications per year

2017–2026

25

Authors

767

  1. AD
    Abdollah Dehzangi

    Griffith University, Australia

    11 publications · 590 citations

    11

    h-index

  2. DT
    David T. Jones

    University College London, United Kingdom

    10 publications · 5.8K citations

    10

    h-index

  3. KK
    Kuldip K. Paliwal

    Griffith University, Australia

    9 publications · 538 citations

    9

    h-index

  4. DF
    Daniel Fischer

    Ben-Gurion University of the Negev, Israel

    9 publications · 973 citations

    9

    h-index

  5. JL
    James Lyons

    Griffith University, Australia

    9 publications · 538 citations

    9

    h-index

1–5 of 767

Venues

  1. Proteins Structure Function and Bioinformatics

    74 publications · 6.6K citations

    39

    h-index

  2. Bioinformatics

    24 publications · 6.6K citations

    20

    h-index

  3. Journal of Molecular Biology

    JMB · 18 publications · 4.1K citations

    18

    h-index

  4. Protein Science

    PS · 18 publications · 1K citations

    15

    h-index

  5. BMC Bioinformatics

    14 publications · 511 citations

    13

    h-index

1–5