Jingxuan He, Ling Nan Zou, Vidhi Pareek, Stephen J Benkovic
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引用次数: 0
Abstract
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 the 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.
我们介绍了通过Sp lit A ntibiotic R esistance C omplementation(SpARC-map)进行肽图绘制的方法,这是一种确定两个相互作用蛋白质之间可能存在的界面的方法。我们的方法基于细菌宿主体内的亲和力选择,并利用高通量 DNA 测序结果来推断蛋白质-蛋白质相互作用(PPI)界面的位置。SpARC-map 仅使用常规微生物学技术,无需依赖专门的仪器或在体外重组蛋白质复合物;它可以进行调整,以检测广泛亲和力范围内的 PPI;它可以复用,以平行探测多个 PPI;它的非特异性背景可以精确测量,从而实现对弱 PPI 的灵敏检测。利用 SpARC-map,我们恢复了 p21-PCNA 复合物中的已知界面。我们还利用 SpARC-map 对嘌呤酶体进行了探测,嘌呤酶体是由六种嘌呤生物合成酶组成的弱结合复合物,其中没有已知的 PPI 接口。在这里,我们确定了满足底物通道结构要求的界面;我们还确定了参与多种不同相互作用的蛋白质表面,并在活人体细胞中使用特定位点光交联对其进行了验证。最后,我们证明了 SpARC 图谱结果可以对基于机器学习的结构预测输出施加严格的限制。