期刊
BMC SYSTEMS BIOLOGY
卷 6, 期 -, 页码 -出版社
BIOMED CENTRAL LTD
DOI: 10.1186/1752-0509-6-92
关键词
Interactomes; Networks; Protein-protein interactions; Disease
资金
- Tata Graduate Fellowship
- US National Institute of General Medical Sciences
- US National Institute of General Medical Sciences [R01 GM097358]
Background: 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. Results: 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. Conclusions: 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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