MINT: a Molecular INTeraction database
By Andreas Zanzoni, L. Montecchi-Palazzi, Michele Quondam, G. Ausiello, Manuela Helmer-Citterich, G. Cesareni. FEBS Letters, 2002
426 citations recorded by the source corpus.
Protein interaction databases represent unique tools to store, in a computer readable form, the protein interaction information disseminated in the scientific literature. Well organized and easily accessible databases permit the easy retrieval and analysis of large interaction data sets. Here we present MINT, a database (http://cbm.bio.uniroma2.it/mint/index.html) designed to store data on functional interactions between proteins. Beyond cataloguing binary complexes, MINT was conceived to store other types of functional interactions, including enzymatic modifications of one of the partners. Release 1.0 of MINT focuses on experimentally verified protein–protein interactions. Both direct and indirect relationships are considered. Furthermore, MINT aims at being exhaustive in the description of the interaction and, whenever available, information about kinetic and binding constants and about the domains participating in the interaction is included in the entry. MINT 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. The interaction data can be easily extracted and viewed graphically through ‘MINT Viewer’. Presently MINT contains 4568 interactions, 782 of which are indirect or genetic interactions.
Subfields: Molecular Biology, Pharmacology
View Paper: https://www.semanticscholar.org/paper/b247bb08f116a181faa34e0e5806935a08b59dc5
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In Molecular Biology
- Maryam Bagherian
- Zaneta Nikolovska-Coleska
- Maureen A. Sartor
- Kayvan Najarian
- Kai Wang
- Elyas Sabeti
- Arnaud Céol
Citations in the corpus
- Machine learning approaches and databases for prediction of drug–target interaction: a survey paper (2020, positive): “In total, 11 molecular interaction databases (including IntAct) were incorporated into IntAct including AgBase [ 266–269], MINT [ 270–273], UniProt [274][41], I2D [275], MBINFO, MatrixDB [276], Molecular Connections, InnateDN [ 277], IMEx [278] and GOA.”
- MINT: the Molecular INTeraction database (2006, background): “Since MINT was first reported (2) the number of curated entries has grown significantly.”
- Biological network comparison using graphlet degree distribution (2007, positive): “Several different data sets are available for yeast a nd human, so we analyzed five yeast PPI networks obtained from three dif ferent high-throughput studies (35; 13; 37) and five human PPI netwo rks obtained from the two recent high-throughput studies (32; 29) and three curated data bases (2; 26; ”