MINT: the Molecular INTeraction database

By A. Chatr-aryamontri, Arnaud Céol, L. Montecchi-Palazzi, G. Nardelli, M. Schneider, L. Castagnoli, G. Cesareni. Nucleic Acids Res., 2006

1,464 citations recorded by the source corpus.

The Molecular INTeraction database (MINT, ) aims at storing, in a structured format, information about molecular interactions (MIs) by extracting experimental details from work published in peer-reviewed journals. At present the MINT team focuses the curation work on physical interactions between proteins. Genetic or computationally inferred interactions are not included in the database. Over the past four years MINT has undergone extensive revision. The new version of MINT is based on a completely remodeled database structure, which offers more efficient data exploration and analysis, and is characterized by entries with a richer annotation. Over the past few years the number of curated physical interactions has soared to over 95 000. The whole dataset can be freely accessed online in both interactive and batch modes through web-based interfaces and an FTP server. MINT now includes, as an integrated addition, HomoMINT, a database of interactions between human proteins inferred from experiments with ortholog proteins in model organisms ().

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/49b60b92201710d095684b6df1b1d93f92122dd0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

Citations in the corpus

A Shortest Dependency Path Based Convolutional Neural Network for Protein-Protein Relation Extraction (2016, background): “A number of databases, such as BIND [1], MINT [2], and IntAct [3], had been created to store structured interactions.”
The MIPS mammalian protein?Cprotein interaction database (2005, background): “Despite its practical relevance, comparatively little PPI data from mammals has been available in public databases like BIND (Bader et al., 2003), DIP (Salwinski et al., 2004) and MINT ( Zanzoni et al., 2002 ).”
GPS 2.0, a Tool to Predict Kinase-specific Phosphorylation Sites in Hierarchy *S (2008, methodology): “The human experimental protein-protein interaction (PPI) data were derived from the Database of Interacting Proteins (DIP) (31), BioGrid (32), the Molecular Interaction Database (MINT) (33), the Biomolecular Interaction Network Database (BIND) (34), and the Human Protein Reference Database (HPRD) (3”
iRefIndex: A consolidated protein interaction database with provenance (2008, methodology): “Inter-action databases included BIND [22,23], BioGRID [24], DIP [25], HPRD [26,27], IntAct [28,29], MINT [30], MPact [31], MPPI [32] and OPHID [33].”
Overview of the protein-protein interaction annotation extraction task of BioCreative II (2008, background): “The interaction databases MINT (Molecular Interactions Database) [6] and IntAct [7] contain the largest number of nonredundant direct human protein-protein interactions, exceeded in number only by HPRD.”
The BioGRID Interaction Database: 2011 update (2010, methodology): “In collaboration with the MINT interaction database (19), BioGRID has provided gold standard manually curated datasets and expert knowledge for various classi-ﬁcation and extraction tasks in the BioCreative III Challenge.”
Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool (2013, neutral): “Elm [35], NetworKIN [36], and MINT [37].”
Multichannel Convolutional Neural Network for Biological Relation Extraction (2016, methodology): “According to the suggestion that the best window size combination is usually close to each other by Zhang and Wallace [35], we set the windows size h as [5, 6, 7, 8] in DDI task and [3, 4, 5, 6] in PPI task.”
BisoGenet: a new tool for gene network building, visualization and analysis (2010, methodology): “Protein-protein and protein-DNA interactions information is taken from the Database of Interacting Proteins DIP[3], BIND[4], the Human Protein Reference Database HPRD[5], the Molecular INTeraction database MINT[7], Intact[8] and Bio-Grid[6].”
Phosphotyrosine interactome of the ErbB-receptor kinase family (2005, methodology): “All interactions found in this study have been submitted to the public Molecular INTeraction database”
Evaluation of linguistic features useful in extraction of interactions from PubMed; Application to annotating known, high-throughput and predicted interactions in I2D (2009, background): “While previous research in text mining has made substantial progress in automatic PPI detection from literature, the need to improve the precision and recall of the process remains.”
ChemProt: a disease chemical biology database (2010, background): “The current interactome contains 428 429 unique protein–proteins interactions derived from source databases such as BIND (34), GRID (35), MINT (36), dip_full (37), HPRD (38), intact (39), mppi (40), MPact (41), Reactome (42) and KEGG (43).”
Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment (2019, background): “…et al., 2012), and PubChem (Wang et al., 2009)], target interaction databases [STRING (Szklarczyk et al., 2015), HPRD (Peri et al., 2003), MINT (Zanzoni et al., 2002), IntAct (Kerrien et al., 2012), Reactome (D’Eustachio, 2009), and HAPPI (Chen et al., 2009)], and gene-disease association…”