Binding Affinity Evolution

Binding Affinity Evolution is a computational framework that models the quantitative changes in protein-protein interaction strength over evolutionary time, distinguished by its integration of sequence divergence, structural constraints, and biophysical principles to predict affinity variations across homologous protein interfaces.

80

Publications

4K

Citations

420

Authors

173

Institutions

Publications per year

2017–2026

38

Authors

420

  1. CY
    Chaoyong Yang

    Xiamen University, China

    2 publications · 166 citations

    3

    h-index

  2. KH
    Kabir H. Biswas

    Hamad bin Khalifa University, Qatar

    2 publications · 36 citations

    2

    h-index

  3. OD
    Orly Dym

    Weizmann Institute of Science, Israel

    2 publications · 206 citations

    2

    h-index

  4. NP
    Nicholas P.J. Brindle

    University of Leicester, United Kingdom

    2 publications · 68 citations

    2

    h-index

  5. AL
    Ashley L. Taylor

    University of Utah, United States

    2 publications · 68 citations

    2

    h-index

1–5 of 420

Venues

  1. Journal of Molecular Biology

    JMB · 4 publications · 336 citations

    4

    h-index

  2. PLoS ONE

    4 publications · 107 citations

    4

    h-index

  3. PLoS Pathogens

    3 publications · 151 citations

    3

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 145 citations

    3

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 180 citations

    3

    h-index

1–5