Structure Prediction Validation

Structure Prediction Validation is a methodological framework within computational structural biology that systematically assesses the accuracy and reliability of predicted molecular structures by comparing them against experimentally determined structures using quantitative metrics and statistical analyses.

123

Publications

22.5K

Citations

704

Authors

282

Institutions

Publications per year

2017–2026

33

Authors

704

  1. AK
    Andriy Kryshtafovych

    University of California, Davis, United States

    9 publications · 1.1K citations

    9

    h-index

  2. KF
    Krzysztof Fidelis

    University of California, Davis, United States

    9 publications · 1.8K citations

    9

    h-index

  3. TS
    Torsten Schwede

    University of Basel, Switzerland

    7 publications · 2K citations

    7

    h-index

  4. LR
    Leszek Rychlewski

    BioInfoBank Institute, Poland

    7 publications · 534 citations

    7

    h-index

  5. JM
    John Moult

    Biotechnology Institute, United States

    6 publications · 1.5K citations

    6

    h-index

1–5 of 704

Venues

  1. Proteins Structure Function and Bioinformatics

    27 publications · 3.4K citations

    25

    h-index

  2. Bioinformatics

    5 publications · 1.5K citations

    5

    h-index

  3. Protein Science

    PS · 4 publications · 5.3K citations

    5

    h-index

  4. Structure

    4 publications · 261 citations

    4

    h-index

  5. 4

    h-index

1–5