Rosetta Modeling

Rosetta Modeling is a computational method in the field of ab initio structure prediction that employs fragment-based sampling and energy function optimization to generate accurate three-dimensional protein structures from amino acid sequences.

319

Publications

34.7K

Citations

1.3K

Authors

431

Institutions

Publications per year

2017–2026

125

Authors

1.3K

  1. DB
    David Baker

    University of Washington, United States

    72 publications · 19.3K citations

    52

    h-index

  2. JM
    Jens Meiler

    Vanderbilt University, United States

    23 publications · 2K citations

    21

    h-index

  3. FD
    Frank DiMaio

    University of Washington, United States

    21 publications · 4.4K citations

    20

    h-index

  4. JJ
    Jeffrey J. Gray

    Johns Hopkins University, United States

    22 publications · 4.5K citations

    19

    h-index

  5. RD
    Rhiju Das

    Stanford University, United States

    21 publications · 3.6K citations

    18

    h-index

1–5 of 1.3K

Venues

  1. Proteins Structure Function and Bioinformatics

    40 publications · 4.7K citations

    31

    h-index

  2. PLoS ONE

    29 publications · 4.1K citations

    23

    h-index

  3. Bioinformatics

    17 publications · 2.1K citations

    16

    h-index

  4. Journal of Chemical Theory and Computation

    JCTC · 13 publications · 2.9K citations

    13

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 12 publications · 3.4K citations

    12

    h-index

1–5