%0 Journal Article
%T HINT: High-quality protein interactomes and their applications in understanding human disease
%A Jishnu Das
%A Haiyuan Yu
%J BMC Systems Biology
%D 2012
%I BioMed Central
%R 10.1186/1752-0509-6-92
%X We develop HINT (http://hint.yulab.org webcite) - 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.Numerous recent efforts in systems biology have tried to characterize the set of all possible pairwise physical interactions or the binary protein ˇ°interactomeˇ± of an organism [1-3]. Most proteins perform their functions through interactions [4]. Thus, these large-scale maps are critical in elucidating the biological roles of functional products of genes that are identified by large-scale genome and cDNA sequencing projects. Because most of these efforts are discovery-oriented and try to explore previously unknown functionalities, it is of utmost importance to ensure that the resultant maps are of high quality. Erroneous results at this stage could propagate into both ill-conceived hypotheses and futile downstream experiments. Moreover, it has been s
%K Interactomes
%K Networks
%K Protein-protein interactions
%K Disease
%U http://www.biomedcentral.com/1752-0509/6/92