Induced-fit Modeling

Induced-Fit Modeling is a computational framework in receptor modeling that describes the dynamic structural adaptation of a biomolecular binding site upon ligand interaction, distinguishing itself from rigid-body docking approaches by explicitly accounting for conformational changes in both the receptor and ligand during complex formation.

190

Publications

15.2K

Citations

826

Authors

336

Institutions

Publications per year

2017–2026

56

Authors

826

  1. RA
    Richard A. Friesner

    Columbia University, United States

    6 publications · 2.4K citations

    6

    h-index

  2. AV
    Angelo Vedani

    University of Basel, Switzerland

    5 publications · 434 citations

    5

    h-index

  3. MD
    Max Dobler

    ETH Zurich, Switzerland

    4 publications · 390 citations

    4

    h-index

  4. JZ
    Jian Zhang

    Shanghai Jiao Tong University, China

    3 publications · 62 citations

    3

    h-index

  5. RN
    Ruth Nussinov

    Tel Aviv University, Israel

    3 publications · 987 citations

    3

    h-index

1–5 of 826

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 14 publications · 436 citations

    13

    h-index

  2. Biochemistry

    13 publications · 429 citations

    13

    h-index

  3. Journal of the American Chemical Society

    JACS · 11 publications · 669 citations

    11

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 11 publications · 2.1K citations

    11

    h-index

  5. Journal of Medicinal Chemistry

    10 publications · 2.7K citations

    10

    h-index

1–5