HINT: High-quality protein interactomes and their applications in understanding human disease.
HINT: High-quality protein interactomes and their applications in understanding human disease.
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DOI：
10.1186/1752-0509-6-92
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发表时间：
2012-07-30
影响因子：
--
通讯作者：
Yu H
中科院分区：
文献类型：
--
作者：
Das J;Yu H
细胞系统中蛋白质-蛋白质相互作用的全球地图提供了对有机体工作原理的关键见解。一个经过充分验证的高质量蛋白质-蛋白质相互作用的储存库可以用于大规模和小规模研究，以产生和验证广泛的功能假说。我们开发了HINT(http://hint.yulab.org))-一个关于人类、酿酒酵母、裂殖酵母和水稻的高质量蛋白质-蛋白质相互作用的数据库。这些是从几个数据库中收集的，并系统地和手动地进行筛选，以删除低质量/错误的交互。所得到的数据集按类型(二元物理相互作用与共复杂关联)和数据来源(高通量系统设置与文献策划的小规模实验)进行分类。我们在文献整理的小规模互动数据集中发现了强烈的社会学抽样偏差。没有这种抽样偏差的交互作用组被用来理解人类疾病的网络属性--基因枢纽不太可能导致疾病，但如果它们导致了疾病，它们通常会导致多种疾病。HINT对生物学所有领域的研究人员都很感兴趣，因为它解决了拥有高质量蛋白质-蛋白质相互作用储存库的普遍需求。这些数据集可以用来生成关于特定蛋白质和/或通路的特定假设，以及分析细胞网络的全球属性。提示将定期更新，并将跟踪所有版本。
A global map of protein-protein interactions in cellular systems provides key insights into the workings of an organism. A repository of well-validated high-quality protein-protein interactions can be used in both large- and small-scale studies to generate and validate a wide range of functional hypotheses. We develop HINT (http://hint.yulab.org) - a database of high-quality protein-protein interactomes for human, Saccharomyces cerevisiae, Schizosaccharomyces pombe, and Oryza sativa. These were collected from several databases and filtered both systematically and manually to remove low-quality/erroneous interactions. The resulting datasets are classified by type (binary physical interactions vs. co-complex associations) and data source (high-throughput systematic setups vs. literature-curated small-scale experiments). We find strong sociological sampling biases in literature-curated datasets of small-scale interactions. An interactome without such sampling biases was used to understand network properties of human disease-genes - hubs are unlikely to cause disease, but if they do, they usually cause multiple disorders. HINT is of significant interest to researchers in all fields of biology as it addresses the ubiquitous need of having a repository of high-quality protein-protein interactions. These datasets can be utilized to generate specific hypotheses about specific proteins and/or pathways, as well as analyzing global properties of cellular networks. HINT will be regularly updated and all versions will be tracked.
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影响因子：
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影响因子：
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