Loop Conformation Prediction

Loop Conformation Prediction is a computational method in structural bioinformatics that specifically addresses the prediction of the three-dimensional geometry of solvent-exposed polypeptide segments in proteins by modeling their conformational states based on sequence and structural constraints.

129

Publications

10.7K

Citations

384

Authors

198

Institutions

Publications per year

2017–2026

17

Authors

384

  1. RA
    Richard A. Friesner

    Columbia University, United States

    6 publications · 411 citations

    6

    h-index

  2. KZ
    Kai Zhu

    Schrodinger (United States), United States

    4 publications · 217 citations

    4

    h-index

  3. CM
    Charlotte M. Deane

    University of Oxford, United Kingdom

    4 publications · 820 citations

    4

    h-index

  4. HP
    Hahnbeom Park

    University of Washington, United States

    3 publications · 229 citations

    3

    h-index

  5. CD
    Charles DeLisi

    Boston University, United States

    3 publications · 138 citations

    3

    h-index

1–5 of 384

Venues

  1. Proteins Structure Function and Bioinformatics

    30 publications · 2K citations

    22

    h-index

  2. Journal of Biomolecular Structure and Dynamics

    7 publications · 232 citations

    7

    h-index

  3. Journal of Molecular Biology

    JMB · 7 publications · 1.2K citations

    7

    h-index

  4. Protein Engineering Design and Selection

    PEDS · 7 publications · 301 citations

    7

    h-index

  5. Biopolymers

    6 publications · 526 citations

    6

    h-index

1–5