Dayhoff Matrices

Dayhoff Matrices is a substitution matrix used in bioinformatics that quantifies the probability of amino acid replacements over evolutionary time based on observed mutations in closely related protein sequences, derived from empirical data compiled by Margaret Dayhoff and colleagues.

15

Publications

20K

Citations

29

Authors

23

Institutions

Publications per year

2017–2026

0

Variants

Pam MatricesPoint Accepted Mutation Matrices

Authors

29

  1. SH
    Steven Henikoff

    Fred Hutch Cancer Center, United States

    2 publications · 6.9K citations

    2

    h-index

  2. JG
    Jorja G. Henikoff

    Fred Hutch Cancer Center, United States

    2 publications · 6.9K citations

    2

    h-index

  3. DW
    David W. Mount

    University of Arizona, United States

    2 publications · 85 citations

    2

    h-index

  4. MG
    Michael Gribskov

    Purdue University West Lafayette, United States

    1 publications · 1.3K citations

    1

    h-index

  5. VH
    Volker Hollich

    Karolinska Institutet, Sweden

    1 publications · 128 citations

    1

    h-index

1–5 of 29

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 4 publications · 8K citations

    4

    h-index

  2. Protein Engineering Design and Selection

    PEDS · 2 publications · 622 citations

    2

    h-index

  3. Molecular Biology and Evolution

    MBE · 2 publications · 3.5K citations

    2

    h-index

  4. Proteins Structure Function and Bioinformatics

    2 publications · 553 citations

    2

    h-index

  5. Cold Spring Harbor Protocols

    2 publications · 85 citations

    2

    h-index

1–5