Putting proteins in context.

Mengzhou Hu, Trey Ideker
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引用次数: 0

Abstract

Proteins exhibit cell-type-specific functions and interactions, yet most ways of representing proteins lack any biological or environmental context. To address this gap, recent work by Li et al.1 introduces PINNACLE, a geometric deep learning approach that generates contextualized representations of proteins by combined analysis of protein interactions and multiorgan single-cell transcriptomics.

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将蛋白质置于背景中。
蛋白质表现出细胞类型特异性的功能和相互作用,然而大多数表示蛋白质的方法缺乏任何生物或环境背景。为了弥补这一缺陷,Li 等人1 最近的研究引入了 PINNACLE,这是一种几何深度学习方法,通过对蛋白质相互作用和多器官单细胞转录组学的综合分析,生成蛋白质的上下文表示。
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