Template Quality Assessment

Template Quality Assessment is a methodological framework within template-based modeling that evaluates the suitability, accuracy, and representativeness of a structural template relative to a target sequence or structure, distinguishing it from general model evaluation by focusing specifically on the fidelity and relevance of the template selection prior to model construction.

20

Publications

1.8K

Citations

87

Authors

45

Institutions

Publications per year

2017–2026

4

Authors

87

  1. FS
    Ferdinand Schweser

    University at Buffalo, State University of New York, United States

    1 publications · 24 citations

    1

    h-index

  2. EM
    Elizabeth M. Black

    Veterinary Medicines Directorate, United Kingdom

    1 publications · 49 citations

    1

    h-index

  3. PP
    Paul Polak

    University of Illinois Chicago, United States

    1 publications · 24 citations

    1

    h-index

  4. JC
    John C. Day

    Simon Fraser University, Canada

    1 publications · 52 citations

    1

    h-index

  5. DC
    Domenico Cozzetto

    University College London, United Kingdom

    1 publications · 133 citations

    1

    h-index

1–5 of 87

Venues

  1. Proteins Structure Function and Bioinformatics

    3 publications · 223 citations

    3

    h-index

  2. PubMed

    Repository · 2 publications · 1.1K citations

    2

    h-index

  3. Human Brain Mapping

    1 publications · 63 citations

    1

    h-index

  4. Frontiers in Physiology

    1 publications · 14 citations

    1

    h-index

  5. 1

    h-index

1–5