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Functional Organization Of The Yeast Proteome By A Yeast Interactome Map

机译:酵母相互作用图谱对酵母蛋白质组的功能组织

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It is hoped that comprehensive mapping of protein physical interactions will facilitate insights regarding both fundamental cell biology processes and the pathology of diseases. To fulfill this hope, good solutions to 2 issues will be essential: (ⅰ) how to obtain reliable interaction data in a high-throughput setting and (ⅱ) how to structure interaction data in a meaningful form, amenable to and valuable for further biological research. In this article, we structure an interactome in terms of predicted permanent protein complexes and predicted transient, nongeneric interactions between these complexes. The interactome is generated by means of an associated computational algorithm, from raw high-throughput affinity purification/mass spec-trometric interaction data. We apply our technique to the construction of an interactome for Saccharomyces cerevisiae, showing that it yields reliability typical of low-throughput experiments from high-throughput data. We discuss biological insights raised by this interactome including, via homology, a few related to human disease.
机译:希望对蛋白质物理相互作用的全面作图将有助于有关基本细胞生物学过程和疾病病理学的见解。为了实现这一希望,必须要有以下两个问题的良好解决方案:(ⅰ)如何在高通量环境中获得可靠的相互作用数据,以及(ⅱ)如何以有意义的形式构建相互作用数据,以适应于进一步的生物学研究并有价值研究。在本文中,我们根据预测的永久蛋白质复合物以及这些复合物之间的预测的瞬时非遗传相互作用构建了一个相互作用组。相互作用组通过相关的计算算法从原始的高通量亲和纯化/质谱相互作用数据中生成。我们将我们的技术应用于酿酒酵母的相互作用组的构建,表明它从高通量数据中获得了典型的低通量实验的可靠性。我们讨论了这个相互作用组产生的生物学见解,包括通过同源性,与人类疾病有关的一些见解。

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