Process and Product Development, Amgen Inc., Thousand Oaks, California 91320, United States.
Anal Chem. 2011 Nov 15;83(22):8642-51. doi: 10.1021/ac2020917. Epub 2011 Oct 28.
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.
质谱分析与碰撞诱导解离(CID)结合,已成为分析蛋白质翻译后和过程诱导修饰的首选方法。然而,对修饰和修饰位点的准确和自动识别通常受到修饰的多样性及其在典型 CID 条件下的不稳定性的挑战。准确预测修饰肽的 CID 谱将提高自动确定修饰和修饰位点的可靠性。在本文中,用于预测肽 CID 谱的动力学模型被扩展到用于预测修饰肽的 CID 谱。用于预测具有酶促和化学修饰的肽(1)丝氨酸、苏氨酸和酪氨酸的磷酸化,(2)半胱氨酸的 S-羧甲基化和氨甲酰化,(3)蛋氨酸、色氨酸和半胱氨酸的不同氧化阶段,(4)赖氨酸的糖化,(5)丝氨酸的 O-甘露糖化,(6)赖氨酸的羟化和(7)赖氨酸的 N-单甲基化和 N-二甲基化的 CID 谱预测的数学模型被描述。一旦用已知修饰和修饰位点的肽的 CID 谱建立了数学模型,它就能以优异的精度预测 CID 谱的离子强度,从而更可靠地鉴定修饰和修饰位点。