Sequence Profile Analysis

Sequence Profile Analysis is a computational method in protein fold recognition that derives position-specific scoring profiles from multiple sequence alignments to enhance the detection of distant evolutionary relationships by capturing conserved patterns of amino acid substitutions distinct from simple sequence similarity.

335

Publications

75.6K

Citations

1.1K

Authors

460

Institutions

Publications per year

2017–2026

40

Authors

1.1K

  1. LA
    L. Aravind

    National Center for Biotechnology Information, United States

    21 publications · 3.5K citations

    21

    h-index

  2. LM
    Lakshminarayan M. Iyer

    National Center for Biotechnology Information, United States

    10 publications · 1.2K citations

    10

    h-index

  3. VA
    Vivek Anantharaman

    National Center for Biotechnology Information, United States

    8 publications · 1.3K citations

    8

    h-index

  4. NV
    Nick V. Grishin

    The University of Texas Southwestern Medical Center, United States

    6 publications · 962 citations

    6

    h-index

  5. XW
    Xiaolong Wang

    Harbin Institute of Technology, China

    6 publications · 967 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. Nucleic Acids Research

    34 publications · 47.8K citations

    30

    h-index

  2. Bioinformatics

    31 publications · 1.9K citations

    25

    h-index

  3. Proteins Structure Function and Bioinformatics

    22 publications · 2.1K citations

    19

    h-index

  4. BMC Bioinformatics

    25 publications · 1.2K citations

    18

    h-index

  5. PLoS ONE

    14 publications · 1.1K citations

    13

    h-index

1–5