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An Integrated GlycoProteome Analyzer including mapping system for complex N-glycoproteomes, which combines methods for tandem mass spectrometry with a database search and algorithmic suite. I-GPA is a scoring algorithm with decoy glycopeptides, where 95 N-glycopeptides from standard α1-acid glycoprotein were identified with 0% false positives, giving the same results as manual validation. I-GPA platform could make a major breakthrough in high-throughput mapping of complex N-glycoproteomes, which can be applied to biomarker discovery and ongoing global human proteome project.

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I-GPA classification

I-GPA specifications

Software type:
Package
Restrictions to use:
None
Operating system:
Unix/Linux
Stability:
Stable
Interface:
Command line interface
Input format:
TXT, MGF
Computer skills:
Advanced

Credits

Publications

  • (Park et al., 2016) Integrated GlycoProteome Analyzer (I-GPA) for Automated Identification and Quantitation of Site-Specific N-Glycosylation. Sci Rep.
    PMID: 26883985

Institution(s)

Department of Mass Spectrometry, Korea Basic Science Institute, Ochang, Republic of Korea; Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Republic of Korea; Department of Biomedical Science, Cheongju University, Cheongju, Republic of Korea; Department of Chemistry, Hannam University, Daejeon, Republic of Korea; Department of Chemistry, Sogang University, Seoul, Republic of Korea; Cancer Biomarkers Development Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea; Department of Food Nutrition, Chungnam National University, Daejeon, Republic of Korea; Yonsei Proteome Research Center and Department of Integrated OMICS for Biomedical Science, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea; Department of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea

Funding source(s)

This research was supported by the National Research Council of Science and Technology (CAP-15-03-KRIBB); by the Korea Health Technology R&D Project, through the Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea (HI13C2098); and by the research program through the Korea Basic Science Institute (G35110).

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