Computational Protein Engineering

Computational Protein Engineering is a computational methodology that systematically designs and optimizes protein structures and functions through algorithmic, statistical, or physical modeling approaches, distinguishing it from experimental or purely descriptive techniques in protein science.

68

Publications

3.8K

Citations

322

Authors

116

Institutions

Publications per year

2017–2026

25

Authors

322

  1. DB
    David Baker

    University of Washington, United States

    4 publications · 150 citations

    4

    h-index

  2. BK
    Brian Kuhlman

    University of North Carolina at Chapel Hill, United States

    2 publications · 261 citations

    2

    h-index

  3. CO
    Carlos Outeiral

    University of Oxford, United Kingdom

    2 publications · 93 citations

    2

    h-index

  4. SB
    Sophie Barbe

    Centre National de la Recherche Scientifique, France

    2 publications · 82 citations

    2

    h-index

  5. DA
    David Allouche

    Centre National de la Recherche Scientifique, France

    2 publications · 82 citations

    2

    h-index

1–5 of 322

Venues

  1. Methods in molecular biology

    Book series · 4 publications · 78 citations

    4

    h-index

  2. Nature

    3 publications · 567 citations

    3

    h-index

  3. Protein Engineering Design and Selection

    PEDS · 3 publications · 332 citations

    3

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 481 citations

    3

    h-index

  5. Nucleic Acids Research

    2 publications · 264 citations

    2

    h-index

1–5