生物
疾病
蛋白质-蛋白质相互作用
计算生物学
遗传学
进化生物学
内科学
医学
作者
Jack Greenblatt,Bruce Alberts,Nevan J. Krogan
出处
期刊:Cell
[Elsevier]
日期:2024-11-01
卷期号:187 (23): 6501-6517
被引量:30
标识
DOI:10.1016/j.cell.2024.10.038
摘要
The identification of individual protein-protein interactions (PPIs) began more than 40 years ago, using protein affinity chromatography and antibody co-immunoprecipitation. As new technologies emerged, analysis of PPIs increased to a genome-wide scale with the introduction of intracellular tagging methods, affinity purification (AP) followed by mass spectrometry (MS), and co-fractionation MS (CF-MS). Now, combining the resulting catalogs of interactions with complementary methods, including crosslinking MS (XL-MS) and cryogenic electron microscopy (cryo-EM), helps distinguish direct interactions from indirect ones within the same or between different protein complexes. These powerful approaches and the promise of artificial intelligence applications like AlphaFold herald a future where PPIs and protein complexes, including energy-driven protein machines, will be understood in exquisite detail, unlocking new insights in the contexts of both basic biology and disease.
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