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Updated: Jul 4, 2025

Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry
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CarSitePred:基于KNDUA-LNDOT重新采样技术的综合算法,用于识别碳化站点

Yun Zuo1, Jingrun Zhang1, Wenying He2

  • 1School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China.

Journal of biomolecular structure & dynamics
|February 9, 2024
PubMed
概括

识别蛋白质碳化位对于了解疾病至关重要. 一个新的计算模型,CarSitePred,准确地预测这些网站,为传统的实验方法提供了更快,更有效的替代方案.

关键词:
亚历克斯Net卷积神经网络的神经网络.局部化正常分布过量采样技术 (LNDOT)基于K-平均正常分布的低采样算法 (KNDUA).识别碳化部位的方法.序列分析分析的序列分析.

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¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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