The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
HINT: High-quality protein interactomes and their applications in understanding human disease
Open accessAbstract
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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Cited by
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Metadata
- Authors
- Das, J., & Yu, H.
- Venue
- BMC Systems Biology
- Published
- 2012
- Volume
- 6
- Issue
- 1
- Pages
- 92
- ISSN
- 1752-0509 (ISSN-L)
- OpenAlex
- W2140883620
- Cited by
- 458
- References
- 47
- FWCI
- 6.27
- Type
- journal article
- Language
- en
- Open access
- gold
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