HitPredict: a database of quality assessed protein-protein interactions in nine species.
Despite the availability of a large number of protein-protein interactions (PPIs) in several species, researchers are often limited to using very small subsets in a few organisms due to the high prevalence of spurious interactions. In spite of the importance of quality assessment of experimentally determined PPIs, a surprisingly small number of databases provide interactions with scores and confidence levels. We introduce HitPredict (http://hintdb.hgc.jp/htp/), a database with quality assessed PPIs in nine species. HitPredict assigns a confidence level to interactions based on a reliability score that is computed using evidence from sequence, structure and functional annotations of the interacting proteins. HitPredict was first released in 2005 and is updated annually. The current release contains 36,930 proteins with 176,983 non-redundant, physical interactions, of which 116,198 (66%) are predicted to be of high confidence.
Human Genome Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokane-dai, Minato-ku, Tokyo 108-8639, Japan. ashwini@hgc.jp
Ashwini
A
Patil
Kenta
K
Nakai
Haruki
H
Nakamura
D030562:Databases, Protein; D054730:Protein Interaction Domains and Motifs; D025941:Protein Interaction Mapping / Q000592:standards; D011786:Quality Control