Quality Scoring Functions

Quality Scoring Functions is a computational metric used in homology modeling that quantitatively evaluates the structural accuracy and reliability of predicted protein models by distinguishing plausible conformations from artifacts based on physical, statistical, or knowledge-based criteria.

31

Publications

5.3K

Citations

83

Authors

51

Institutions

Publications per year

2017–2026

8

Authors

83

  1. SG
    Sergei Grudinin

    Centre National de la Recherche Scientifique, France

    2 publications · 180 citations

    2

    h-index

  2. YZ
    Yang Zhang

    University of Michigan, United States

    2 publications · 2.6K citations

    2

    h-index

  3. TS
    Torsten Schwede

    University of Basel, Switzerland

    2 publications · 970 citations

    2

    h-index

  4. GP
    Guillaume Pagès

    Université Grenoble Alpes, France

    2 publications · 180 citations

    2

    h-index

  5. PB
    Pascal Benkert

    University of Basel, Switzerland

    2 publications · 970 citations

    2

    h-index

1–5 of 83

Venues

  1. Proteins Structure Function and Bioinformatics

    7 publications · 2.8K citations

    7

    h-index

  2. Bioinformatics

    5 publications · 451 citations

    5

    h-index

  3. Nucleic Acids Research

    2 publications · 1K citations

    2

    h-index

  4. BMC Bioinformatics

    2 publications · 243 citations

    2

    h-index

  5. Applied and Environmental Soil Science

    1 publications · 32 citations

    1

    h-index

1–5