Ensemble-based Docking

Ensemble-Based Docking is a computational docking methodology that, as a member of the ensemble modeling paradigm, integrates multiple conformational states of biomolecules to improve the accuracy and robustness of predicting ligand-receptor binding modes, thereby distinguishing itself from single-structure docking approaches by explicitly accounting for structural flexibility and dynamic variability.

186

Publications

11K

Citations

793

Authors

355

Institutions

Publications per year

2017–2026

93

Authors

793

  1. JC
    Jeremy C. Smith

    Oak Ridge National Laboratory, United States

    12 publications · 1K citations

    12

    h-index

  2. JB
    Jérôme Baudry

    Oak Ridge National Laboratory, United States

    8 publications · 533 citations

    8

    h-index

  3. MD
    Micholas Dean Smith

    University of Tennessee at Knoxville, United States

    7 publications · 714 citations

    7

    h-index

  4. SR
    Sally R. Ellingson

    University of Tennessee at Knoxville, United States

    6 publications · 465 citations

    6

    h-index

  5. RA
    Ruben Abagyan

    University of California San Diego, United States

    6 publications · 806 citations

    6

    h-index

1–5 of 793

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 43 publications · 2K citations

    26

    h-index

  2. Proteins Structure Function and Bioinformatics

    13 publications · 2K citations

    13

    h-index

  3. ChemRxiv

    Repository · 7 publications · 542 citations

    7

    h-index

  4. Scientific Reports

    6 publications · 274 citations

    6

    h-index

  5. Journal of Biomolecular Structure and Dynamics

    6 publications · 182 citations

    6

    h-index

1–5