Process and Product Development, Amgen Inc., One Amgen Center Drive, Thousand Oaks, California 91320, United States.
Anal Chem. 2010 Dec 15;82(24):10194-202. doi: 10.1021/ac102359u. Epub 2010 Nov 23.
Confident identification of the glycan moieties in glycopeptides by collision-induced dissociation (CID) requires accurate prediction of the CID spectrum of the glycopeptides. In this Article, the kinetic model for the prediction of peptide CID spectra is extended to predict the CID spectra of N-glycopeptides. The model was trained with 1831 ion-trap CID spectra of N-glycopeptides and is able to predict ion-trap CID spectra with excellent accuracy in ion intensities for N-glycopeptides up to 8000 u in mass. A total of 524 common glycoforms including complex N-glycans with 2-4 antennas, plus high-mannose type and hybrid type, can be predicted.
通过碰撞诱导解离(CID)对糖肽中的糖基部分进行准确鉴定需要准确预测糖肽的 CID 谱。在本文中,扩展了用于预测肽 CID 谱的动力学模型,以预测 N-糖肽的 CID 谱。该模型使用 1831 个 N-糖肽的离子阱 CID 谱进行训练,能够以优异的精度预测质量高达 8000 u 的 N-糖肽的离子阱 CID 谱中的离子强度。可以预测总共 524 种常见的糖型,包括具有 2-4 个天线的复杂 N-聚糖,以及高甘露糖型和杂合型。