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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.5
- 수록면
- 41 - 41 (1page)
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Protein glycosylation is known to be involved in biological progresses such as cell recognition, growth, differentiation, and apoptosis. Fucosylation is one of the common decoration of glycoproteins, and plays an important role for structural stability and function of N−linked glycoproteins. Although many of biological and clinical studies of protein fucosylation by fucosyltransferases has been reported, structural classification of fucosylated N−glycoproteins such as core or outer isoforms remains a challenge. Here, we report for the first time the classification of N−glycopeptides as core− and outer−fucosylated types using tandem mass spectrometry (MS/MS) and machine learning algorithms such as the deep neural network (DNN) and support vector machine (SVM). Training and test sets of more than 800 MS/MS spectra of N−glycopep ... 전체 초록 보기
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