Peptide Sequence Search

Peptide Sequence Search is a computational method in bioinformatics that identifies and characterizes peptide sequences within protein databases by matching experimental mass spectrometry data against theoretical or predicted peptide entries, distinguished from broader protein identification techniques by its focus on short, linear amino acid subsequences as the primary unit of analysis.

863

Publications

100.3K

Citations

3.7K

Authors

1.1K

Institutions

Publications per year

2017–2026

219

Authors

3.7K

  1. GP
    Gajendra P. S. Raghava

    Institute of Microbial Technology, India

    14 publications · 1.9K citations

    13

    h-index

  2. PA
    Pavel A. Pevzner

    University of California San Diego, United States

    10 publications · 1.3K citations

    10

    h-index

  3. GB
    Geert Baggerman

    KU Leuven, Belgium

    9 publications · 389 citations

    9

    h-index

  4. SH
    Si‐Min He

    Institute of Computing Technology, China

    9 publications · 945 citations

    9

    h-index

  5. LS
    Liliane Schoofs

    KU Leuven, Belgium

    9 publications · 395 citations

    9

    h-index

1–5 of 3.7K

Venues

  1. Journal of Proteome Research

    JPR · 85 publications · 13.8K citations

    43

    h-index

  2. Bioinformatics

    45 publications · 7.2K citations

    31

    h-index

  3. PROTEOMICS

    52 publications · 5.2K citations

    30

    h-index

  4. Molecular & Cellular Proteomics

    MCP · 34 publications · 4.1K citations

    29

    h-index

  5. Analytical Chemistry

    29 publications · 4.1K citations

    26

    h-index

1–5