Structural Alignment Benchmarking

Structural Alignment Benchmarking is a systematic evaluation framework that assesses the accuracy and generalization of structural correspondences between domains or representations by measuring alignment quality against standardized tasks, datasets, and metrics within the field of cognitive science and artificial intelligence.

9

Publications

1.4K

Citations

33

Authors

23

Institutions

Publications per year

2017–2026

3

Authors

33

  1. MS
    Morgan Shine

    University of Michigan, United States

    2 publications · 522 citations

    2

    h-index

  2. CZ
    Chengxin Zhang

    University of Michigan, United States

    2 publications · 522 citations

    2

    h-index

  3. AM
    Anna Marie Pyle

    Howard Hughes Medical Institute, United States

    2 publications · 522 citations

    2

    h-index

  4. YZ
    Yang Zhang

    University of Michigan, United States

    2 publications · 522 citations

    2

    h-index

  5. ÁR
    Ángel R. Ortíz

    Universidad Autónoma de Madrid, Spain

    1 publications · 496 citations

    1

    h-index

1–5 of 33

Venues

  1. Bioinformatics

    2 publications · 194 citations

    2

    h-index

  2. Protein Science

    PS · 1 publications · 496 citations

    1

    h-index

  3. Journal of Molecular Structure

    1 publications · 39 citations

    1

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 32 citations

    1

    h-index

  5. Nature Methods

    1 publications · 490 citations

    1

    h-index

1–5