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Prediction of Collision-Induced-Dissociation Spectra of Peptides with Post-translational or Process-Induced Modifications

机译:具有翻译后或过程诱导修饰的肽碰撞诱导解离光谱的预测

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摘要

Mass spectrometry, combined with collision-induced dissociation (CID), has become the method of choice for analyzing protein post-translational and process-induced modifications. However, confident and automated identification of modifications and modification sites is often challenged by the diversity of modifications and their labile nature under typical CID conditions. An accurate prediction of the CID spectra of modified peptides will improve the reliability of automated determination of modifications and modification sites. In this article, the kinetic model for the prediction of peptide CID spectra is extended to the prediction of the CID spectra of modified peptides. The mathematical model for predicting CID spectra of peptides with enzymatic and chemical modifications such as (1) phosphorylation of serine, threonine, and tyrosine, (2) S-carboxymethylation and carbamidomethylation of cysteine, (3) different stages of oxidation of methionine, tryptophan, and cysteine, (4) glycation of lysine, (5) O-mannosylation of serine, (6) hydroxylation of lysine, and (7) N-monomethylation and N-dimethylation of lysine is described. The mathematical model, once established with CID spectra of peptides with known modifications and modification sites, is able to predict CID spectra with excellent accuracy in ion intensities, facilitating more reliable identification of modification and modification sites.
机译:质谱结合碰撞诱导解离(CID)已成为分析蛋白质翻译后修饰和过程诱导修饰的首选方法。但是,在典型的CID条件下,修饰的多样性及其不稳定性质常常会挑战对修饰和修饰位点的可靠自动识别。准确预测修饰肽的CID谱图将提高修饰和修饰位点自动确定的可靠性。在本文中,用于预测肽CID光谱的动力学模型扩展到了对修饰肽CID光谱的预测。预测具有酶和化学修饰作用的肽的CID光谱的数学模型,例如(1)丝氨酸,苏氨酸和酪氨酸的磷酸化,(2)半胱氨酸的S-羧甲基化和氨基甲酰甲基化,(3)蛋氨酸,色氨酸氧化的不同阶段描述了(4)赖氨酸的糖基化,(5)丝氨酸的O-甘露糖基化,(6)赖氨酸的羟基化和(7)赖氨酸的N-单甲基化和N-二甲基化。一旦使用具有已知修饰和修饰位点的肽的CID光谱建立了数学模型,该数学模型就能够以极高的离子强度精度预测CID光谱,从而有助于更可靠地识别修饰和修饰位点。

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