相互作用体
蛋白质组
质谱法
生物信息学
蛋白质组学
计算生物学
蛋白质结构
蛋白质-蛋白质相互作用
蛋白质测序
结构生物学
肽序列
生物
化学
生物化学
生物物理学
色谱法
基因
作者
Tara K Bartolec,Xabier Vázquez-Campos,Alexander Norman,Clement Luong,Marcus Johnson,Richard J. Payne,Marc R. Wilkins,Joel P. Mackay,Jason K K Low
标识
DOI:10.1073/pnas.2219418120
摘要
Significant recent advances in structural biology, particularly in the field of cryoelectron microscopy, have dramatically expanded our ability to create structural models of proteins and protein complexes. However, many proteins remain refractory to these approaches because of their low abundance, low stability, or-in the case of complexes-simply not having yet been analyzed. Here, we demonstrate the power of using cross-linking mass spectrometry (XL-MS) for the high-throughput experimental assessment of the structures of proteins and protein complexes. This included those produced by high-resolution but in vitro experimental data, as well as in silico predictions based on amino acid sequence alone. We present the largest XL-MS dataset to date, describing 28,910 unique residue pairs captured across 4,084 unique human proteins and 2,110 unique protein-protein interactions. We show that models of proteins and their complexes predicted by AlphaFold2, and inspired and corroborated by the XL-MS data, offer opportunities to deeply mine the structural proteome and interactome and reveal mechanisms underlying protein structure and function.
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