Protein Optimization

Protein Optimization is a methodological framework within computational biology that refines protein sequences or structures to enhance specific functional properties, distinguished from related approaches by its focus on improving predefined performance metrics such as stability, activity, or expressibility through algorithmic or experimental design strategies.

176

Publications

11.2K

Citations

765

Authors

312

Institutions

Publications per year

2017–2026

54

Authors

765

  1. CB
    Chris Bailey‐Kellogg

    Dartmouth College, United States

    7 publications · 209 citations

    7

    h-index

  2. KE
    Karl E. Griswold

    Dartmouth College, United States

    4 publications · 144 citations

    4

    h-index

  3. DB
    David Baker

    University of Washington, United States

    4 publications · 602 citations

    4

    h-index

  4. TS
    Thomas Schiex

    Centre National de la Recherche Scientifique, France

    3 publications · 182 citations

    3

    h-index

  5. AS
    Andrew S. Parker

    Dartmouth College, United States

    3 publications · 107 citations

    3

    h-index

1–5 of 765

Venues

  1. Journal of Computational Chemistry

    9 publications · 283 citations

    9

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 209 citations

    8

    h-index

  3. The Journal of Chemical Physics

    6 publications · 151 citations

    6

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 5 publications · 392 citations

    5

    h-index

  5. Protein Expression and Purification

    5 publications · 109 citations

    5

    h-index

1–5