Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis.

ABSTRACT: Knowledge about non-interacting proteins (NIPs) is important for training the algorithms to predict protein-protein interactions (PPIs) and for assessing the false positive rates of PPI detection efforts. We present the second version of Negatome, a database of proteins and protein domains that are unlikely to engage in physical interactions (available online at http://mips.helmholtz-muenchen.de/proj/ppi/negatome). Negatome is derived by manual curation of literature and by analyzing three-dimensional structures of protein complexes. The main methodological innovation in Negatome 2.0 is the utilization of an advanced text mining procedure to guide the manual annotation process. Potential non-interactions were identified by a modified version of Excerbt, a text mining tool based on semantic

SUBMITTER: Blohm P 

PROVIDER: S-EPMC3965096 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature