Structure-based Fold Recognition

Structure-Based Fold Recognition is a computational method that identifies the three-dimensional structural fold of a protein by directly comparing its experimentally determined or predicted structure against a database of known structural folds, distinguished from sequence-based approaches by relying on spatial rather than sequential homology.

188

Publications

19.5K

Citations

480

Authors

220

Institutions

Publications per year

2017–2026

15

Variants

Structure-based Protein Fold Recognition

Authors

480

  1. AD
    Abdollah Dehzangi

    Griffith University, Australia

    9 publications · 406 citations

    9

    h-index

  2. KK
    Kuldip K. Paliwal

    Griffith University, Australia

    8 publications · 379 citations

    8

    h-index

  3. AS
    Alok Sharma

    Griffith University, Australia

    8 publications · 309 citations

    8

    h-index

  4. YX
    Ying Xu

    University of Georgia, United States

    8 publications · 650 citations

    8

    h-index

  5. JL
    James Lyons

    Griffith University, Australia

    8 publications · 379 citations

    8

    h-index

1–5 of 480

Venues

  1. Proteins Structure Function and Bioinformatics

    57 publications · 4.7K citations

    37

    h-index

  2. Bioinformatics

    10 publications · 4.5K citations

    10

    h-index

  3. Protein Science

    PS · 11 publications · 1.5K citations

    10

    h-index

  4. Journal of Molecular Biology

    JMB · 9 publications · 983 citations

    9

    h-index

  5. Nucleic Acids Research

    8 publications · 2K citations

    8

    h-index

1–5