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IMID: integrated molecular interaction database
Author(s) -
Sentil Balaji,
Charles Mcclendon,
Rajesh Chowdhary,
Jun S. Liu,
Jinfeng Zhang
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts010
Subject(s) - computer science , annotation , context (archaeology) , ontology , database , interaction information , gene ontology , focus (optics) , information retrieval , biology , gene , artificial intelligence , paleontology , philosophy , statistics , gene expression , biochemistry , mathematics , physics , epistemology , optics
Molecular interaction information, such as protein-protein interactions and protein-small molecule interactions, is indispensable for understanding the mechanism of biological processes and discovering treatments for diseases. Many databases have been built by manual annotation of literature to organize such information into structured form. However, most databases focus on only one type of interactions, which are often not well annotated and integrated with related functional information.

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