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Updated: Sep 11, 2025

Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry
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Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry

Published on: November 12, 2012

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预测液相分离蛋白使用具有特征融合特征的米网络

Ye-Hong Yang1,2, Qun Liu1, Jiang-Feng Liu2

  • 1School of Basic Medicine, Nanchang Medical College, No. 689, Hui Ren Da Dao, Xiaolan Economic Development Zone, Nanchang, 330006, China.

Briefings in bioinformatics
|August 12, 2025
PubMed
概括

研究人员开发了一个语网络框架,以预测驱动液态液相分离 (LLPS) 的蛋白质. 这种方法整合了蛋白质和蛋白质与蛋白质相互作用 (PPI) 网络特征,以进行准确的预测,即使数据有限.

关键词:
在PPI网络中嵌入PPI网络嵌入.深度学习是一种深度学习.功能融合 功能融合 功能融合图形嵌入 图形嵌入.液体液体相分离器 液体相分离器

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SNARE-mediated Fusion of Single Proteoliposomes with Tethered Supported Bilayers in a Microfluidic Flow Cell Monitored by Polarized TIRF Microscopy10:58

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