Conformation-based Affinity Prediction

Conformation-Based Affinity Prediction is a computational method in binding affinity prediction that specifically accounts for the three-dimensional structural arrangements of molecules to estimate interaction strength, distinguishing itself by incorporating conformational dynamics and variability as critical determinants of binding outcomes.

63

Publications

2.8K

Citations

311

Authors

145

Institutions

Publications per year

2017–2026

19

Authors

311

  1. HI
    Henry I. Mosberg

    University of Michigan, United States

    2 publications · 71 citations

    2

    h-index

  2. ID
    Irina D. Pogozheva

    University of Michigan, United States

    2 publications · 71 citations

    2

    h-index

  3. CK
    Carol K. Hall

    North Carolina State University, United States

    2 publications · 39 citations

    2

    h-index

  4. RM
    Ronald M. Levy

    Rutgers, The State University of New Jersey, United States

    2 publications · 144 citations

    2

    h-index

  5. XX
    Xingqing Xiao

    North Carolina State University, United States

    2 publications · 39 citations

    2

    h-index

1–5 of 311

Venues

  1. Journal of Computer-Aided Molecular Design

    4 publications · 262 citations

    4

    h-index

  2. Journal of Chemical Theory and Computation

    JCTC · 4 publications · 141 citations

    4

    h-index

  3. Journal of Medicinal Chemistry

    4 publications · 190 citations

    4

    h-index

  4. Journal of Computational Chemistry

    3 publications · 135 citations

    3

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 347 citations

    3

    h-index

1–5