Structure-based Function Prediction

Structure-Based Function Prediction is a computational approach in protein function annotation that infers the biological role of a protein based on its three-dimensional structure, leveraging structural similarities to functionally characterized proteins.

181

Publications

26.8K

Citations

750

Authors

341

Institutions

Publications per year

2017–2026

61

Variants

Structure-based Protein Function Prediction

Authors

750

  1. YZ
    Yang Zhang

    University of Michigan, United States

    12 publications · 11.4K citations

    12

    h-index

  2. RB
    Russ B. Altman

    Stanford University, United States

    5 publications · 135 citations

    5

    h-index

  3. JS
    Jeffrey Skolnick

    Georgia Institute of Technology, United States

    5 publications · 401 citations

    5

    h-index

  4. JS
    Jacquelyn S. Fetrow

    Wake Forest University, United States

    5 publications · 378 citations

    5

    h-index

  5. JM
    Janet M. Thornton

    University College London, United Kingdom

    5 publications · 1K citations

    5

    h-index

1–5 of 750

Venues

  1. Nucleic Acids Research

    15 publications · 8.3K citations

    15

    h-index

  2. BMC Bioinformatics

    12 publications · 1.9K citations

    12

    h-index

  3. Proteins Structure Function and Bioinformatics

    6 publications · 635 citations

    6

    h-index

  4. Journal of Molecular Biology

    JMB · 5 publications · 825 citations

    5

    h-index

  5. Protein Science

    PS · 5 publications · 234 citations

    5

    h-index

1–5