使用XGBoost预测酸化后的氨酸反应性变化

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Updated: Jul 11, 2025

Resin-Assisted Capture Coupled with Isobaric Tandem Mass Tag Labeling for Multiplexed Quantification of Protein Thiol Oxidation
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Resin-Assisted Capture Coupled with Isobaric Tandem Mass Tag Labeling for Multiplexed Quantification of Protein Thiol Oxidation

Published on: June 21, 2021

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Jing Cao1, Yan Xu1

  • 1Department of Statistics, University of Science and Technology Beijing, China.

FEBS open bio
|November 15, 2023
PubMed
概括

机器学习预测了酸化如何改变蛋白质中的氨酸反应性,有助于理解蛋白质功能和疾病联系. 这种方法加速了全蛋白质组分析以获得临床见解.

关键词:
在XGBoost中使用.半氨酸的反应活性机器学习是机器学习.光化蛋白质的光化蛋白质.蛋白质的功能 蛋白质的功能

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