Enzyme Evolution Modeling

Enzyme Evolution Modeling is a computational framework that simulates the natural evolutionary processes of enzymes by integrating sequence, structure, and functional constraints to predict adaptive mutations and guide the rational design of improved biocatalysts.

71

Publications

4.4K

Citations

289

Authors

138

Institutions

Publications per year

2017–2026

15

Authors

289

  1. MB
    Marco Bocola

    RWTH Aachen University, Germany

    4 publications · 517 citations

    4

    h-index

  2. NT
    Nobuhiko Tokuriki

    Canada's Michael Smith Genome Sciences Centre, Canada

    3 publications · 856 citations

    3

    h-index

  3. DS
    Dan S. Tawfik

    Weizmann Institute of Science, Israel

    3 publications · 706 citations

    3

    h-index

  4. CJ
    Colin J. Jackson

    Australian National University, Australia

    3 publications · 593 citations

    3

    h-index

  5. IM
    Ichiro Matsumura

    Emory University, United States

    2 publications · 73 citations

    2

    h-index

1–5 of 289

Venues

  1. Journal of Molecular Biology

    JMB · 6 publications · 467 citations

    6

    h-index

  2. Journal of Theoretical Biology

    4 publications · 50 citations

    4

    h-index

  3. Journal of Molecular Evolution

    4 publications · 242 citations

    4

    h-index

  4. Journal of the American Chemical Society

    JACS · 3 publications · 96 citations

    3

    h-index

  5. Angewandte Chemie

    3 publications · 150 citations

    3

    h-index

1–5