Structure-based Function Annotation

Structure-Based Function Annotation is a computational method in functional network annotation that infers biological function from the three-dimensional structural properties of biomolecules, distinguishing itself from sequence- or context-based approaches by prioritizing spatial conformation and physical interaction interfaces as the primary evidence for functional assignment.

29

Publications

5.6K

Citations

123

Authors

57

Institutions

Publications per year

2017–2026

9

Authors

123

  1. YZ
    Yang Zhang

    University of Michigan, United States

    7 publications · 4.3K citations

    7

    h-index

  2. MB
    Michał Bryliński

    Louisiana State University, United States

    3 publications · 54 citations

    3

    h-index

  3. JY
    Jianyi Yang

    Nankai University, China

    3 publications · 4K citations

    3

    h-index

  4. MI
    Md. Imtaiyaz Hassan

    Jamia Millia Islamia, India

    3 publications · 60 citations

    3

    h-index

  5. CZ
    Chengxin Zhang

    University of Michigan, United States

    3 publications · 310 citations

    3

    h-index

1–5 of 123

Venues

  1. Nucleic Acids Research

    7 publications · 3.9K citations

    7

    h-index

  2. 3 Biotech

    3 publications · 60 citations

    3

    h-index

  3. Proteins Structure Function and Bioinformatics

    3 publications · 105 citations

    3

    h-index

  4. BMC Bioinformatics

    2 publications · 467 citations

    2

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 275 citations

    2

    h-index

1–5