Biomolecular Modeling

Biomolecular modeling is a computational discipline that constructs mathematical and algorithmic representations of biological macromolecules to simulate, predict, and analyze their structure, dynamics, and interactions.

13.6K

Publications

1.1M

Citations

37.6K

Authors

5.6K

Institutions

Publications per year

2017–2026

3.2K

Authors

37.6K

  1. AD
    Alexander D. MacKerell

    University of Maryland, Baltimore, United States

    44 publications · 15.7K citations

    33

    h-index

  2. HA
    Harold A. Scheraga

    Cornell University, United States

    49 publications · 4K citations

    32

    h-index

  3. JA
    J. Andrew McCammon

    University of California San Diego, United States

    49 publications · 14.1K citations

    32

    h-index

  4. MK
    Martin Karplus

    Harvard University, United States

    40 publications · 22.3K citations

    32

    h-index

  5. PA
    Peter A. Kollman

    University of California, San Francisco, United States

    37 publications · 27.1K citations

    31

    h-index

1–5 of 37.6K

Venues

  1. Journal of the American Chemical Society

    JACS · 331 publications · 41.7K citations

    90

    h-index

  2. Journal of Computational Chemistry

    354 publications · 96.4K citations

    88

    h-index

  3. Journal of Chemical Theory and Computation

    JCTC · 380 publications · 40.9K citations

    88

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 231 publications · 30.3K citations

    87

    h-index

  5. Journal of Molecular Biology

    JMB · 213 publications · 29.5K citations

    81

    h-index

1–5

See also

Biomolecular Modeling

Core Methods

Applications

Limitations

Evaluation

Data Sources