Structural Bioinformatics Function Prediction

Structural Bioinformatics Function Prediction is a computational methodology within structural bioinformatics that infers the biological function of a biomolecule by analyzing its three-dimensional structure, leveraging evolutionary, physical, and geometric principles to distinguish functional attributes from structurally similar biomolecules.

40

Publications

9.5K

Citations

180

Authors

87

Institutions

Publications per year

2017–2026

13

Authors

180

  1. AJ
    A. Joachimiak

    Argonne National Laboratory, United States

    3 publications · 282 citations

    3

    h-index

  2. JM
    Janet M. Thornton

    University College London, United Kingdom

    3 publications · 224 citations

    3

    h-index

  3. AS
    Alexei Savchenko

    University of Toronto, Canada

    2 publications · 207 citations

    2

    h-index

  4. TH
    Troy Hawkins

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 49 citations

    2

    h-index

  5. YY
    Yi‐Feng Yang

    Shu-Te University, Taiwan

    2 publications · 49 citations

    2

    h-index

1–5 of 180

Venues

  1. Nucleic Acids Research

    4 publications · 577 citations

    4

    h-index

  2. F1000Research

    4 publications · 75 citations

    4

    h-index

  3. Journal of Molecular Biology

    JMB · 2 publications · 98 citations

    2

    h-index

  4. Biochemistry and Molecular Biology Education

    BAMBEd · 2 publications · 38 citations

    2

    h-index

  5. PLoS ONE

    1 publications · 11 citations

    1

    h-index

1–5