Comparative Protein Model Accuracy

Comparative Protein Model Accuracy is a metric that quantifies the structural or functional fidelity of a computationally predicted protein model relative to a reference experimental structure by evaluating deviations in spatial coordinates, residue packing, or energy profiles within the context of homology-based or template-assisted modeling.

59

Publications

5.5K

Citations

153

Authors

88

Institutions

Publications per year

2017–2026

10

Authors

153

  1. KF
    Krzysztof Fidelis

    University of California, Davis, United States

    10 publications · 757 citations

    10

    h-index

  2. JM
    John Moult

    Biotechnology Institute, United States

    7 publications · 558 citations

    7

    h-index

  3. AK
    Andriy Kryshtafovych

    University of California, Davis, United States

    7 publications · 625 citations

    7

    h-index

  4. AŠ
    Andrej Šali

    University of California, San Francisco, United States

    6 publications · 1.5K citations

    6

    h-index

  5. AT
    Anna Tramontano

    Sapienza University of Rome, Italy

    4 publications · 404 citations

    4

    h-index

1–5 of 153

Venues

  1. Proteins Structure Function and Bioinformatics

    26 publications · 2.1K citations

    21

    h-index

  2. Nucleic Acids Research

    5 publications · 1.8K citations

    5

    h-index

  3. Protein Science

    PS · 4 publications · 438 citations

    4

    h-index

  4. Journal of Chemical Theory and Computation

    JCTC · 3 publications · 142 citations

    3

    h-index

  5. Bioinformatics

    2 publications · 162 citations

    2

    h-index

1–5