Computational Protein Design

Computational Protein Design is a computational methodology that systematically generates novel amino acid sequences or protein structures with desired functions or properties by leveraging physics-based modeling, machine learning, or energy landscape theory within the framework of protein engineering.

356

Publications

31.6K

Citations

1.5K

Authors

419

Institutions

Publications per year

2017–2026

163

Authors

1.5K

  1. DB
    David Baker

    University of Washington, United States

    42 publications · 12K citations

    33

    h-index

  2. SL
    Stephen L. Mayo

    California Institute of Technology, United States

    17 publications · 1.2K citations

    16

    h-index

  3. TS
    Thomas Simonson

    Centre National de la Recherche Scientifique, France

    17 publications · 536 citations

    16

    h-index

  4. BK
    Brian Kuhlman

    University of North Carolina at Chapel Hill, United States

    12 publications · 3.4K citations

    12

    h-index

  5. BR
    Bruce R. Donald

    Duke University, United States

    12 publications · 497 citations

    12

    h-index

1–5 of 1.5K

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 36 publications · 1.6K citations

    22

    h-index

  2. Proteins Structure Function and Bioinformatics

    23 publications · 1K citations

    21

    h-index

  3. Journal of Computational Chemistry

    20 publications · 932 citations

    17

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 18 publications · 2.2K citations

    16

    h-index

  5. PLoS Computational Biology

    18 publications · 932 citations

    16

    h-index

1–5