Sequence Profile Generation

Sequence Profile Generation is a computational method in protein threading that constructs a position-specific scoring matrix representing the evolutionary conservation and amino acid preferences at each residue position of a protein family, derived from multiple sequence alignments, to enhance the accuracy of template-based structure prediction.

69

Publications

7.8K

Citations

198

Authors

86

Institutions

Publications per year

2017–2026

11

Authors

198

  1. YY
    Yuedong Yang

    Sun Yat-sen University, China

    3 publications · 94 citations

    3

    h-index

  2. AY
    An‐Suei Yang

    Genomics Research Center, Academia Sinica, Taiwan

    3 publications · 165 citations

    3

    h-index

  3. JR
    John R. Desjarlais

    Xencor (United States), United States

    3 publications · 232 citations

    3

    h-index

  4. LA
    L. Aravind

    National Center for Biotechnology Information, United States

    2 publications · 262 citations

    2

    h-index

  5. VA
    Vivek Anantharaman

    National Center for Biotechnology Information, United States

    2 publications · 262 citations

    2

    h-index

1–5 of 198

Venues

  1. Proteins Structure Function and Bioinformatics

    9 publications · 742 citations

    9

    h-index

  2. Bioinformatics

    10 publications · 861 citations

    9

    h-index

  3. Nucleic Acids Research

    7 publications · 1.7K citations

    7

    h-index

  4. BMC Bioinformatics

    5 publications · 88 citations

    5

    h-index

  5. Protein Science

    PS · 5 publications · 1.1K citations

    5

    h-index

1–5