Backbone Refinement

Backbone Refinement is a computational optimization method within homology modeling that specifically improves the accuracy of the predicted protein structure by adjusting the polypeptide backbone conformation while preserving side-chain connectivity and stereochemical constraints.

109

Publications

10.5K

Citations

419

Authors

184

Institutions

Publications per year

2017–2026

17

Authors

419

  1. WC
    Wah Chiu

    Baylor College of Medicine, United States

    3 publications · 448 citations

    3

    h-index

  2. HA
    Harold A. Scheraga

    Cornell University, United States

    3 publications · 235 citations

    3

    h-index

  3. AK
    Andriy Kryshtafovych

    University of California, Davis, United States

    3 publications · 130 citations

    3

    h-index

  4. BK
    Brian Kuhlman

    University of North Carolina at Chapel Hill, United States

    3 publications · 122 citations

    3

    h-index

  5. JK
    John Kuszewski

    National Institutes of Health, United States

    3 publications · 345 citations

    3

    h-index

1–5 of 419

Venues

  1. Proteins Structure Function and Bioinformatics

    17 publications · 1.6K citations

    17

    h-index

  2. Journal of Biomolecular NMR

    16 publications · 592 citations

    13

    h-index

  3. Biomolecular NMR Assignments

    8 publications · 130 citations

    8

    h-index

  4. Journal of Molecular Biology

    JMB · 4 publications · 511 citations

    4

    h-index

  5. Journal of Magnetic Resonance

    JMR · 4 publications · 72 citations

    4

    h-index

1–5