Protein Sequence-structure Optimization

Protein Sequence-Structure Optimization is a computational methodology in protein design modeling that identifies amino acid sequences which fold into a target three-dimensional structure by simultaneously optimizing sequence and structural compatibility according to physical, energetic, or evolutionary criteria.

50

Publications

3K

Citations

206

Authors

88

Institutions

Publications per year

2017–2026

13

Authors

206

  1. DB
    David Baker

    University of Washington, United States

    3 publications · 728 citations

    3

    h-index

  2. AA
    Annie Aniana

    National Institutes of Health, United States

    2 publications · 98 citations

    2

    h-index

  3. TB
    Taylor B. Dolberg

    Northwestern University, United States

    2 publications · 98 citations

    2

    h-index

  4. SL
    Stephen L. Mayo

    California Institute of Technology, United States

    2 publications · 109 citations

    2

    h-index

  5. NK
    Nobuyasu Koga

    University of Washington, United States

    2 publications · 618 citations

    2

    h-index

1–5 of 206

Venues

  1. Proteins Structure Function and Bioinformatics

    4 publications · 197 citations

    4

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 67 citations

    3

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 263 citations

    3

    h-index

  4. The Journal of Chemical Physics

    3 publications · 80 citations

    3

    h-index

  5. PLoS Computational Biology

    2 publications · 67 citations

    2

    h-index

1–5