ArticleBioinformatics (Oxford, England)2012
IMID: integrated molecular interaction database.
Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Integrated network pharmacology andFrontiers in molecular biosciences · 2025Article
- Pre-trained models, data augmentation, and ensemble learning for biomedical information extraction and document classification.Database : the journal of biological databases and curation · 2022Article
- Identification of disease treatment mechanisms through the multiscale interactome.Nature communications · 2021Article
- Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach.BMC genomics · 2020Article
- Extracting chemical-protein interactions from literature using sentence structure analysis and feature engineering.Database : the journal of biological databases and curation · 2019Article
- Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.Pharmacology & therapeutics · 2013Review
- STRING v9.1: protein-protein interaction networks, with increased coverage and integration.Nucleic acids research · 2013Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
motivationMolecular 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.
resultsIn this study, we integrate molecular interaction information from literature by automatic information extraction and from manually annotated databases. We further integrate the relationships between protein/gene and other bio-entity terms including gene ontology terms, pathways, species and diseases to build an integrated molecular interaction database (IMID). Interactions can be selected by their associated probabilities. IMID allows complex and versatile queries for context-specific molecular interactions, which are not available currently in other molecular interaction databases. AVAILABILITY: The database is located at www.integrativebiology.org.
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Registered trials
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