多路复用
计算生物学
蛋白质-蛋白质相互作用
诱饵
接口(物质)
计算机科学
多路复用
编码
互补
生物
DNA
生物系统
蛋白质结构
化学
肽
纳米技术
血浆蛋白结合
基质(水族馆)
蛋白质片段互补分析
分子生物物理学
DNA测序
选择(遗传算法)
肽序列
作者
Jingxuan He,Ling-Nan Zou,Vidhi Pareek,Stephen J. Benkovic
标识
DOI:10.1073/pnas.2425774122
摘要
We describe peptide mapping through Split Antibiotic Resistance Complementation (SpARC-map), a method to identify the probable interface between two interacting proteins. Our method is based on in vivo affinity selection inside a bacterial host and uses high-throughput DNA sequencing to infer probable protein-protein interaction (PPI) interfaces. SpARC-map uses only routine microbiology techniques, with no reliance on specialized instrumentation, dedicated reagents, or reconstituting protein complexes in vitro. SpARC-map can be tuned to detect PPIs over a broad range of affinities, multiplexed to probe multiple PPIs in parallel, and its nonspecific background can be precisely measured, enabling the sensitive detection of weak PPIs. Using SpARC-map, we recover known PPI interfaces in the p21-PCNA, p53-MDM2, and MYC-MAX complexes. We also use SpARC-map to probe the purinosome, the weakly bound complex of six purine biosynthetic enzymes, where no PPI interfaces are known. There, we identify interfaces that satisfy structural requirements for substrate channeling, as well as protein surfaces that participate in multiple distinct interactions, which we validate using site-specific photocrosslinking in live human cells. Finally, we show that SpARC-map results can impose stringent constraints on machine learning-based structure prediction.
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