Structural Substitution Matrices

Structural Substitution Matrices is a type of substitution matrix that incorporates three-dimensional structural information of proteins to quantify the likelihood of amino acid substitutions based on their structural environment and physicochemical compatibility, distinguishing it from sequence-based matrices by prioritizing structural constraints in evolutionary inference.

66

Publications

6K

Citations

220

Authors

118

Institutions

Publications per year

2017–2026

15

Variants

Structure-based Substitution Matrices

Authors

220

  1. RL
    Robert L. Jernigan

    Iowa State University, United States

    3 publications · 124 citations

    3

    h-index

  2. RB
    Russ B. Altman

    Stanford University, United States

    2 publications · 188 citations

    2

    h-index

  3. MS
    Mona Singh

    Princeton University, United States

    2 publications · 66 citations

    2

    h-index

  4. AE
    Andrew E. Torda

    Universität Hamburg, Germany

    2 publications · 71 citations

    2

    h-index

  5. FK
    Frank Keul

    Technische Universität Darmstadt, Germany

    2 publications · 52 citations

    2

    h-index

1–5 of 220

Venues

  1. BMC Bioinformatics

    11 publications · 665 citations

    11

    h-index

  2. Bioinformatics

    7 publications · 2.1K citations

    7

    h-index

  3. Proteins Structure Function and Bioinformatics

    6 publications · 243 citations

    6

    h-index

  4. Nucleic Acids Research

    4 publications · 297 citations

    4

    h-index

  5. Molecular Biology and Evolution

    MBE · 3 publications · 290 citations

    3

    h-index

1–5