Co-evolutionary Coupling Analysis

Co-Evolutionary Coupling Analysis is a computational method in protein structure prediction that identifies evolutionarily correlated mutations across protein sequences to infer spatial proximities in three-dimensional structures.

14

Publications

2.5K

Citations

61

Authors

39

Institutions

Publications per year

2017–2026

5

Variants

Direct Coupling Analysis

Authors

61

  1. TA
    Thomas A. Hopf

    Center for Systems Biology, United States

    3 publications · 1.8K citations

    3

    h-index

  2. CS
    Chris Sander

    Memorial Sloan Kettering Cancer Center, United States

    3 publications · 1.8K citations

    3

    h-index

  3. DS
    Debora S. Marks

    Harvard University, United States

    3 publications · 1.8K citations

    3

    h-index

  4. AG
    Anna G. Green

    Harvard University, United States

    2 publications · 588 citations

    2

    h-index

  5. CS
    Charlotta Schärfe

    University of Tübingen, Germany

    2 publications · 588 citations

    2

    h-index

1–5 of 61

Venues

  1. PLoS Computational Biology

    2 publications · 45 citations

    2

    h-index

  2. Technology in Society

    1 publications · 68 citations

    1

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 32 citations

    1

    h-index

  4. Journal of Biotechnology

    1 publications · 54 citations

    1

    h-index

  5. 1

    h-index

1–5