Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975

Kang Ning

Kang Ning


  • Research Article
    Two-phase Filtering Strategy for Efficient Peptide Identification from Mass Spectrometry
    Author(s): Hoong Kee Ng, Kang Ning and Hon Wai LeongHoong Kee Ng, Kang Ning and Hon Wai Leong

    Peptide identification by tandem mass spectrometry (MS/MS) is one of the most important problems in proteomics. Recent advances in high throughput MS/MS experiments result in huge amount of spectra, and the peptide identification process should keep pace. In this paper, we strive to achieve high accuracy and efficiency for peptide identification with the presence of noise by a two-phase filtering strategy. Our algorithm transforms spectra to high dimensional vectors, and then uses self-organizing map (SOM) and multi-point range query (MPRQ) as very efficient coarse filters to select a number of candidate peptides from database. These candidate peptides are subsequently scored and ranked by an accurate tag-based scoring function S?. Experiments showed that our approach is both fast and accurate for peptide identification. .. View More»
    DOI: 10.4172/jpb.1000130

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