Computational Enzyme Modeling

Computational Enzyme Modeling is a systematic computational approach that integrates physics-based simulations, molecular dynamics, and machine learning techniques to predict and analyze the three-dimensional structures, catalytic mechanisms, and functional dynamics of enzymes at atomic resolution.

624

Publications

29.7K

Citations

2.1K

Authors

732

Institutions

Publications per year

2017–2026

201

Authors

2.1K

  1. AJ
    Adrian J. Mulholland

    University of Bristol, United Kingdom

    14 publications · 735 citations

    13

    h-index

  2. UR
    Ulf Ryde

    Lund University, Sweden

    13 publications · 1K citations

    12

    h-index

  3. MJ
    Maria J. Ramos

    Universidade do Porto, Portugal

    11 publications · 706 citations

    11

    h-index

  4. PA
    Pedro Alexandrino Fernandes

    Universidade do Porto, Portugal

    11 publications · 706 citations

    11

    h-index

  5. WT
    Walter Thiel

    Max-Planck-Institut für Kohlenforschung, Germany

    11 publications · 588 citations

    11

    h-index

1–5 of 2.1K

Venues

  1. Journal of the American Chemical Society

    JACS · 35 publications · 2.2K citations

    27

    h-index

  2. The Journal of Physical Chemistry B

    33 publications · 1.2K citations

    22

    h-index

  3. Biochemistry

    23 publications · 931 citations

    19

    h-index

  4. Journal of Chemical Theory and Computation

    JCTC · 25 publications · 1.3K citations

    19

    h-index

  5. Journal of Chemical Information and Modeling

    JCIM · 25 publications · 742 citations

    17

    h-index

1–5