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Updated: Jun 3, 2025

In-vivo Detection of Protein-protein Interactions on Micro-patterned Surfaces
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MAGPIE:一种机器学习方法来破译人类血中蛋白质之间的相互作用

Emily Hashimoto-Roth1, Diane Forget2, Vanessa P Gaspar2

  • 1Department of Biochemistry, Microbiology and Immunology and Ottawa Institute of Systems Biology, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, Ontario K1H 8M5, Canada.

Journal of proteome research
|January 8, 2025
PubMed
概括

我们开发了MAGPIE,这是一款机器学习工具,用于准确地识别人体血中的蛋白质-蛋白质相互作用 (PPI),使用免疫沉与双重质谱法 (IP-MS/MS) 相结合. 这种方法改善了复杂样本中真正的生物相互作用的检测.

关键词:
亲缘关系净化净化抗体是一种抗体.人工智能的人工智能是人工智能.免疫沉 免疫沉是一种机器学习是机器学习.质谱测量质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量血等离子体是什么?蛋白质-蛋白质 相互作用蛋白质组学 蛋白质组学监督学习学习监督学习

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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