Structure-based Functional Annotation

Structure-Based Functional Annotation is a computational method in structural bioinformatics that assigns biological function to a macromolecule based on its three-dimensional structure, distinguishing it from sequence-based approaches by relying on structural homology, active site geometry, and molecular surface properties.

219

Publications

28.4K

Citations

972

Authors

358

Institutions

Publications per year

2017–2026

52

Authors

972

  1. JM
    Janet M. Thornton

    University College London, United Kingdom

    11 publications · 1.3K citations

    11

    h-index

  2. CO
    Christine Orengo

    University College London, United Kingdom

    11 publications · 1.2K citations

    11

    h-index

  3. RB
    Russ B. Altman

    Stanford University, United States

    8 publications · 574 citations

    8

    h-index

  4. YZ
    Yang Zhang

    University of Michigan, United States

    7 publications · 4.9K citations

    7

    h-index

  5. OL
    Olivier Lichtarge

    Baylor College of Medicine, United States

    7 publications · 352 citations

    7

    h-index

1–5 of 972

Venues

  1. Nucleic Acids Research

    38 publications · 17.1K citations

    33

    h-index

  2. BMC Bioinformatics

    13 publications · 418 citations

    13

    h-index

  3. Proteins Structure Function and Bioinformatics

    14 publications · 839 citations

    12

    h-index

  4. Bioinformatics

    13 publications · 848 citations

    12

    h-index

  5. Protein Science

    PS · 10 publications · 562 citations

    10

    h-index

1–5