Template-based Fold Recognition

Template-Based Fold Recognition is a computational method in structural bioinformatics that identifies the three-dimensional fold of a protein by aligning its sequence to known structures in a template library, distinguished from other fold recognition approaches by its explicit reliance on experimentally determined structures as templates for modeling.

51

Publications

3.6K

Citations

180

Authors

93

Institutions

Publications per year

2017–2026

6

Variants

Template-based Protein Fold Recognition

Authors

180

  1. DX
    Dong Xu

    University of Missouri, United States

    5 publications · 556 citations

    5

    h-index

  2. BL
    Bin Liu

    Harbin Institute of Technology, China

    3 publications · 121 citations

    3

    h-index

  3. YX
    Yong Xu

    Harbin Institute of Technology, China

    3 publications · 121 citations

    3

    h-index

  4. YX
    Ying Xu

    University of Georgia, United States

    3 publications · 235 citations

    3

    h-index

  5. KY
    Ke Yan

    Beijing Institute of Technology, China

    3 publications · 121 citations

    3

    h-index

1–5 of 180

Venues

  1. Proteins Structure Function and Bioinformatics

    15 publications · 1K citations

    13

    h-index

  2. Bioinformatics

    6 publications · 799 citations

    6

    h-index

  3. Protein Science

    PS · 5 publications · 186 citations

    5

    h-index

  4. 3

    h-index

  5. PLoS ONE

    3 publications · 65 citations

    3

    h-index

1–5