MINT: a Molecular INTeraction database
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Summary
MINT, a database designed to store data on functional interactions between proteins, consists of entries extracted from the scientific literature by expert curators assisted by ‘MINT Assistant’, a software that targets abstracts containing interaction information and presents them to the curator in a user‐friendly format.
- Type
- review
- Published
- 2002-02-20
- Cited by
- 426
- References
- 22
- Access
- Open access
- OpenAlex
- https://openalex.org/W1982428412
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18177090
Keywords
Computer science, Protein–protein interaction, Database, Interaction information, Information retrieval
References
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- BIND: THE BIOMOLECULAR INTERACTION DATABASE
- FEBS Lett
Cited by
- Searching the protein interaction space through the MINT database.
- Prediction of human protein–protein interaction by a mixed Bayesian model and its application to exploring underlying cancer-related pathway crosstalk
- Augmented transitive relationships with high impact protein distillation in protein interaction prediction.
- Unbiased label-free quantitative proteomic profiling and enriched proteomic pathways in seminal plasma of adult men before and after varicocelectomy.
- A guide to CORNET for the construction of coexpression and protein-protein interaction networks.
- Network cluster analysis of protein–protein interaction network identified biomarker for early onset colorectal cancer
- The evolution of protein interaction networks.
- Multiplexed Isobaric Tagging Protocols for Quantitative Mass Spectrometry Approaches to Auditory Research
- Human Protein Reference Database and Human Proteinpedia as discovery tools for systems biology.
- Inference of Synechocystis protein interaction network
- Computational methods for predicting protein-protein interactions.
- Structural and relational data mining for systems biology applications
- Heterogeneous biological network visualization system: case study in context of medical image data.
- Initial Results on Knowledge Discovery and Decision Support for Intracranial Aneurysms
- Connecting Seed Lists of Mammalian Proteins Using Steiner Trees
- Elucidation of the Cardiac Myogenesis Regulatory Network
- Inference and validation of Synechocystis protein interaction network using orthology
- Exploring the function and evolution of proteins using domain families
- Reverse Chemical Genetics
- Data Mining in Proteomics
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