Sequence Specificity Modeling

Sequence Specificity Modeling is a computational method that predicts the binding or cleavage preferences of molecular agents at target sites by characterizing the nucleotide or amino acid sequence features that distinguish high-affinity or functional sites from non-functional ones.

101

Publications

7.6K

Citations

422

Authors

195

Institutions

Publications per year

2017–2026

22

Authors

422

  1. HK
    Hidetoshi Kono

    National Institutes for Quantum Science and Technology, Japan

    3 publications · 119 citations

    3

    h-index

  2. RG
    Raluca Gordân

    Duke University, United States

    3 publications · 111 citations

    3

    h-index

  3. QM
    Quaid Morris

    University of Toronto, Canada

    3 publications · 509 citations

    3

    h-index

  4. TR
    Timothy R. Hughes

    University of Toronto, Canada

    3 publications · 509 citations

    3

    h-index

  5. AS
    Akinori Sarai

    Kyushu Institute of Technology, Japan

    3 publications · 119 citations

    3

    h-index

1–5 of 422

Venues

  1. Nucleic Acids Research

    15 publications · 1.6K citations

    13

    h-index

  2. Bioinformatics

    8 publications · 956 citations

    8

    h-index

  3. BMC Bioinformatics

    6 publications · 955 citations

    6

    h-index

  4. Journal of the American Chemical Society

    JACS · 5 publications · 205 citations

    5

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 5 publications · 275 citations

    5

    h-index

1–5