Loop Accuracy Assessment

Loop Accuracy Assessment is a computational metric used in structural biology to quantify the deviation between predicted and experimentally determined loop conformations in protein models, distinguished by its focus on local structural fidelity of solvent-exposed polypeptide segments.

18

Publications

710

Citations

48

Authors

33

Institutions

Publications per year

2017–2026

5

Authors

48

  1. CZ
    Chi Zhang

    University of Nebraska–Lincoln, United States

    2 publications · 56 citations

    2

    h-index

  2. SL
    Shide Liang

    University of Nebraska–Lincoln, United States

    2 publications · 56 citations

    2

    h-index

  3. CM
    Charlotte M. Deane

    University of Oxford, United Kingdom

    1 publications · 10 citations

    1

    h-index

  4. PB
    Pete Briglia

    1 publications · 28 citations

    1

    h-index

  5. YK
    Yasaman Karami

    Centre National de la Recherche Scientifique, France

    1 publications · 39 citations

    1

    h-index

1–5 of 48

Venues

  1. 3

    h-index

  2. Nature Communications

    1 publications · 65 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of the American Chemical Society

    JACS · 1 publications · 94 citations

    1

    h-index

  5. Protein Engineering Design and Selection

    PEDS · 1 publications · 112 citations

    1

    h-index

1–5