Binding Specificity Prediction

Binding Specificity Prediction is a computational method within structure-based functional annotation that identifies the precise molecular targets or ligands a biomolecule interacts with by analyzing its three-dimensional structure, distinguishing itself from general binding prediction approaches through its focus on specificity rather than mere interaction potential.

196

Publications

15.2K

Citations

855

Authors

297

Institutions

Publications per year

2017–2026

57

Authors

855

  1. GD
    Gary D. Stormo

    Washington University in St. Louis, United States

    6 publications · 682 citations

    6

    h-index

  2. AS
    Alessandro Sette

    La Jolla Institute for Immunology, United States

    4 publications · 385 citations

    4

    h-index

  3. PB
    Philip Bradley

    Fred Hutch Cancer Center, United States

    4 publications · 231 citations

    4

    h-index

  4. DB
    David Baker

    University of Washington, United States

    4 publications · 231 citations

    4

    h-index

  5. TH
    Tingjun Hou

    Zhejiang University, China

    4 publications · 298 citations

    4

    h-index

1–5 of 855

Venues

  1. Nucleic Acids Research

    24 publications · 1.9K citations

    22

    h-index

  2. Bioinformatics

    18 publications · 947 citations

    16

    h-index

  3. PLoS Computational Biology

    10 publications · 890 citations

    10

    h-index

  4. BMC Bioinformatics

    9 publications · 313 citations

    9

    h-index

  5. PLoS ONE

    6 publications · 174 citations

    6

    h-index

1–5