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预测肽的电子转移/捕获解离光谱。

Prediction of electron-transfer/capture dissociation spectra of peptides.

机构信息

Process and Product Development, Amgen Inc., One Amgen Center Drive, Thousand Oaks, California 91320, USA.

出版信息

Anal Chem. 2010 Mar 1;82(5):1990-2005. doi: 10.1021/ac902733z.

Abstract

An empirical model, based on classic kinetics, was developed for quantitative prediction of electron-transfer dissociation (ETD) and electron-capture dissociation (ECD) spectra of peptides. The model includes most fragmentation pathways described in the literature plus some additional pathways based on the author's assumptions and observations. The ETD model was trained with more than 7000 ETD spectra, with and without supplemental activation. The ECD model was trained with more than 6000 ECD spectra. The trained ETD and ECD models are able to predict ETD and ECD spectra with reasonable accuracy in ion intensities for peptide precursors up to 4000 u in mass.

摘要

开发了一种基于经典动力学的经验模型,用于定量预测肽的电子转移解离(ETD)和电子捕获解离(ECD)谱。该模型包括文献中描述的大多数碎裂途径,以及一些基于作者假设和观察的附加途径。ETD 模型经过 7000 多个带有和不带有补充激活的 ETD 谱的训练。ECD 模型经过 6000 多个 ECD 谱的训练。经过训练的 ETD 和 ECD 模型能够在质量高达 4000 u 的肽前体的离子强度方面,以合理的准确度预测 ETD 和 ECD 谱。

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