Protein Backbone Design

Protein Backbone Design is a computational method in protein engineering that specifically generates or optimizes the three-dimensional conformation of a protein’s polypeptide backbone without immediate consideration of side-chain identities, distinguishing it from full-atom protein design approaches.

134

Publications

9.3K

Citations

623

Authors

222

Institutions

Publications per year

2017–2026

46

Authors

623

  1. DB
    David Baker

    University of Washington, United States

    17 publications · 3K citations

    16

    h-index

  2. TK
    Tanja Kortemme

    University of California, San Francisco, United States

    9 publications · 508 citations

    9

    h-index

  3. BK
    Brian Kuhlman

    University of North Carolina at Chapel Hill, United States

    8 publications · 1.3K citations

    8

    h-index

  4. PH
    Po‐Ssu Huang

    Stanford University, United States

    6 publications · 1.1K citations

    6

    h-index

  5. MO
    Markus O. Zimmermann

    University of Tübingen, Germany

    4 publications · 186 citations

    4

    h-index

1–5 of 623

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 9 publications · 1.4K citations

    9

    h-index

  2. PLoS ONE

    8 publications · 1.1K citations

    8

    h-index

  3. Protein Science

    PS · 7 publications · 306 citations

    7

    h-index

  4. Journal of Molecular Biology

    JMB · 7 publications · 464 citations

    7

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 7 publications · 528 citations

    7

    h-index

1–5