MINT, the molecular interaction database: 2012 update

By L. Licata, Leonardo Briganti, Daniele Peluso, L. Perfetto, M. Iannuccelli, Eugenia Galeota, F. Sacco, Anita Palma, A. Nardozza, Elena Santonico and 2 more. Nucleic Acids Res., 2011

1,044 citations recorded by the source corpus.

The Molecular INTeraction Database (MINT, http://mint.bio.uniroma2.it/mint/) is a public repository for protein–protein interactions (PPI) reported in peer-reviewed journals. The database grows steadily over the years and at September 2011 contains approximately 235 000 binary interactions captured from over 4750 publications. The web interface allows the users to search, visualize and download interactions data. MINT is one of the members of the International Molecular Exchange consortium (IMEx) and adopts the Molecular Interaction Ontology of the Proteomics Standard Initiative (PSI-MI) standards for curation and data exchange. MINT data are freely accessible and downloadable at http://mint.bio.uniroma2.it/mint/download.do. We report here the growth of the database, the major changes in curation policy and a new algorithm to assign a confidence to each interaction.

Subfields: Molecular Biology, Pharmacology

View Paper: https://www.semanticscholar.org/paper/20bdfd777432f7eab7ab2cc146297df1db654090

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Citations in the corpus

Functional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processes (2013, methodology): “Physical and genetic interaction data from BioGRID [70], IntAct [71], Mint [72], and MIPS [73] were processed as counts of experimental assays that support an interaction between two genes (e.”
Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “…Protein interaction information http://mimi.ncibi.org Gao et al., 2009 MINT Protein–protein interactions in refereed journals http://mint.bio.uniroma2.it/mint Licata et al., 2012 NeAT (Network Analysis Tools) Interactome analysis http://rsat.ulb.ac.be/neat/ Brohee et al., 2008 NetAligner…”
NetworkAnalyst - integrative approaches for protein–protein interaction network analysis and visual exploration (2014, methodology): “The database was created by manually curating protein interaction data from published literature as well as by integrating experimental data from several PPI databases including IntAct (21), MINT (22), DIP (23), BIND (24) and BioGRID (25).”
Human protein interaction networks across tissues and diseases (2015, methodology): “Data of protein interactions were extracted using MyProteinNet (Basha et al., 2015) from BioGrid (Chatr-Aryamontri et al., 2015), DIP (Xenarios et al., 2002), IntAct (Kerrien et al., 2012), and MINT (Licata et al., 2012) databases.”
The BioPlex Network: A Systematic Exploration of the Human Interactome (2015, neutral): “Finally, several databases archive protein interactions from literature (Franceschini et al., 2013; Licata et al., 2012; Ruepp et al., 2010; Stark et al., 2011; Warde-Farley et al., 2010).”
HINT: High-quality protein interactomes and their applications in understanding human disease (2012, methodology): “Although there are numerous databases [9-16] that try to systematically curate the entire repository of interactions for different organisms, there has been very little effort in filtering out unreliable ones.”
The MIntAct project—IntAct as a common curation platform for 11 molecular interaction databases (2013, methodology): “TheMINT (Molecular INTeraction) database was created in 2002 at the University of Tor Vergata, Rome (7), independent of IntAct in funding and organization, but with very similar aims, curating experimentally derived protein interactions, with speciﬁc curation targets determined by the requirements…”
GeneMANIA Prediction Server 2013 Update (2013, background): “We also consolidate networks by curation source [e.g. ‘IREF-MINT’ (28)], so each interaction is represented in two different networks.”
Machine learning approaches and databases for prediction of drug–target interaction: a survey paper (2020, methodology): “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.”