Model Confidence Estimation

Model Confidence Estimation is a computational framework within Template-Based Modeling that quantifies the reliability of predicted structural models by evaluating the consistency and quality of template alignment evidence and evolutionary information underlying the target-template relationships.

71

Publications

7.9K

Citations

293

Authors

122

Institutions

Publications per year

2017–2026

47

Authors

293

  1. PC
    Philip C. Woodland

    University of Cambridge, United Kingdom

    3 publications · 74 citations

    3

    h-index

  2. NB
    Nick Barnes

    Australian National University, Australia

    2 publications · 116 citations

    2

    h-index

  3. ZZ
    Zizhao Zhang

    University of Florida, United States

    2 publications · 27 citations

    2

    h-index

  4. AG
    Animesh Garg

    University of Toronto, Canada

    2 publications · 25 citations

    2

    h-index

  5. AS
    Anshumali Shrivastava

    Rice University, United States

    2 publications · 25 citations

    2

    h-index

1–5 of 293

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 782 citations

    9

    h-index

  2. International Journal of Climatology

    1 publications · 21 citations

    1

    h-index

  3. Advanced Drug Delivery Reviews

    1 publications · 20 citations

    1

    h-index

  4. Journal of the Institute of Actuaries

    JIA · 1 publications · 51 citations

    1

    h-index

  5. Informatics in Medicine Unlocked

    IMU · 1 publications · 14 citations

    1

    h-index

1–5