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Identification and quantification by GlycoProteome analyzer (IQ-GPA) in web service

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We have developed an Identification and Quantification by GlycoProteome Analyzer (IQ-GPA) for high throughput analysis of N- and O-glycoproteome. Herein, we introduce the web version of IQ-GPA for a database search and algorithmic suite with tandem mass spectrometry of HCD/CID/ETD (EThcD) in a shotgun experiment. We have designed to easily handle high-throughput glycoproteomic data with graphical user interfaces, and users can instantly access to a range of Glycan Database Builder as well as N and O-GPA modules using Microsoft Azure cloud platforms. With spectra files and the glycopeptide database of interest, the modules identify and quantify intact N- and O-linked glycopeptides in the complex samples, which requires the following steps: 1) DB Builder Module generates a GPA database using the detailed parameters after select working directory. 2) Analysis Module requires a spectrum file and a GPA-Database to analyze N- and O- glycopeptides with user specific parameters. 3) GPA Report Module shows the results and statistical charts on the website. In addition, IQ-GPA contains a module for the classification of N-glycopeptides as core- and outer-fucosylated types using the artificial intelligence ( https://www.iqgpa.org ).

저자정보

  • Nahye Kim Research Center for Bioconvergence Analysis, Korea Basic Science Institute
  • Jung Hun Ju Research Center for Bioconvergence Analysis, Korea Basic Science Institute
  • Hyejin Kim Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Department of Bio and Brain Engineering, KAIST, Daejeon 34141, Republic of Korea
  • Jin Young Kim Research Center for Bioconvergence Analysis, Korea Basic Science Institute
  • Jong Shin Yoo Research Center for Bioconvergence Analysis, Korea Basic Science Institute
  • Heeyoun Hwang Research Center for Bioconvergence Analysis, Korea Basic Science Institute

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