Protein Folding Optimization

Protein Folding Optimization is a computational or experimental methodology within protein engineering that specifically enhances the efficiency, accuracy, and stability of a protein's three-dimensional conformational assembly by systematically refining sequence, environmental, or structural determinants to achieve a desired functional fold.

159

Publications

9.5K

Citations

481

Authors

192

Institutions

Publications per year

2017–2026

14

Authors

481

  1. DB
    David Baker

    University of Washington, United States

    4 publications · 712 citations

    4

    h-index

  2. RE
    Ron Elber

    The University of Texas at Austin, United States

    4 publications · 254 citations

    4

    h-index

  3. HS
    Heitor Silvério Lopes

    Universidade Tecnológica Federal do Paraná, Brazil

    4 publications · 63 citations

    4

    h-index

  4. BK
    Brian Kuhlman

    University of North Carolina at Chapel Hill, United States

    3 publications · 665 citations

    3

    h-index

  5. LW
    Lenan Wu

    Southeast University, China

    3 publications · 80 citations

    3

    h-index

1–5 of 481

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 12 publications · 1.9K citations

    12

    h-index

  2. Journal of Molecular Biology

    JMB · 8 publications · 866 citations

    8

    h-index

  3. Protein Science

    PS · 5 publications · 268 citations

    5

    h-index

  4. Proteins Structure Function and Bioinformatics

    4 publications · 319 citations

    4

    h-index

  5. Computational Biology and Chemistry

    CBAC · 4 publications · 97 citations

    4

    h-index

1–5