Loop Ensemble Modeling

Loop Ensemble Modeling is a computational method in structural biology that predicts the conformational variability of protein loops by generating a set of plausible loop structures, thereby capturing the inherent flexibility and uncertainty in loop regions beyond a single static model.

12

Publications

458

Citations

30

Authors

17

Institutions

Publications per year

2017–2026

2

Authors

30

  1. AK
    Antti Kemppainen

    University of Geneva, Switzerland

    2 publications · 53 citations

    2

    h-index

  2. SS
    Stanislav Smirnov

    University of Geneva, Switzerland

    2 publications · 53 citations

    2

    h-index

  3. RF
    Richard Fine

    BioPredict (United States), United States

    1 publications · 250 citations

    1

    h-index

  4. CS
    Chaok Seok

    Seoul National University, South Korea

    1 publications · 16 citations

    1

    h-index

  5. TW
    Teruaki Watabe

    The University of Tokyo, Japan

    1 publications · 11 citations

    1

    h-index

1–5 of 30

Venues

  1. 2

    h-index

  2. Biopolymers

    1 publications · 250 citations

    1

    h-index

  3. Genetics

    1 publications · 11 citations

    1

    h-index

  4. Journal of the Mathematical Society of Japan

    1 publications · 16 citations

    1

    h-index

  5. Probability Theory and Related Fields

    1 publications · 13 citations

    1

    h-index

1–5