Model-driven Interpretation

Model-Driven Interpretation is a scientific reasoning approach in integrative structural biology that belongs to the class of interpretive methodologies, distinguished by its reliance on predefined structural or computational models to guide the analysis, integration, and biological interpretation of experimental data.

93

Publications

5K

Citations

334

Authors

163

Institutions

Publications per year

2017–2026

47

Authors

334

  1. JG
    Jesse G. Meyer

    Buck Institute for Research on Aging, United States

    3 publications · 113 citations

    3

    h-index

  2. PW
    Patrick W. Stroman

    Queen's University, Canada

    2 publications · 32 citations

    2

    h-index

  3. YH
    Yong Han

    Lawrence Livermore National Laboratory, United States

    2 publications · 108 citations

    2

    h-index

  4. OG
    Olivia Guest

    Radboud University Nijmegen, Netherlands

    2 publications · 614 citations

    2

    h-index

  5. HJ
    Howard J. M. Warren

    Queen's University, Canada

    2 publications · 32 citations

    2

    h-index

1–5 of 334

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 62 citations

    3

    h-index

  2. The Leading Edge

    TLE · 2 publications · 62 citations

    2

    h-index

  3. 2

    h-index

  4. Chemical Science

    2 publications · 171 citations

    2

    h-index

  5. Advances in Space Research

    2 publications · 89 citations

    2

    h-index

1–5