Learn to use the MINT resource, a collection of molecular interaction databases that can be used to search for, analyze and graphically display molecular interaction networks and pathways from a wide variety of species. MINT is comprised of separate database components. HomoMINT, is an inferred human protein interatction database. Domino, is database of domain peptide interactions. A new component has been added called VirusMINT that explores the interactions of viral proteins with human proteins. Learn to use this comprehensive collection of database, and it will be a valuable addition to your molecular interaction research toolbox.

You will learn:

  • how to search for protein interaction data in MINT
  • how to search for inferred human interaction data in HomoMINT
  • how to search Domino for peptide domain interactions
  • to edit and manipulate interaction data in the MINT viewer


This tutorial is a part of the tutorial group Interaction resources. You might find the other tutorials in the group interesting:

Pathway Interaction Database: A resource of pathway and network data and displays

Cytoscape: An open-source software platform used for visualization and analysis of molecular interaction and network data

BiologicalNetworks: Analyze and visualize molecular interaction networks

BioSystems: Database of Biological Systems

Reactome Legacy: Older version of the current Reactome knowledgebase of biological processes.

Reactome: Knowledgebase of biological processes

GeneMANIA: GeneMANIA: Fast Gene Function Predictions

GenMAPP: A freely available open source software application for visualizing microarray data in the context of biological pathways.

VisANT: A web-based or downloadable software platform used for visualization and analysis of networks and interaction pathways

InterPro: A comprehensive protein signature resource

IntAct protein interaction database: IntAct is an open source database and analysis resource for protein interaction data

KEGG: KEGG, The Kyoto Encyclopedia of Genes and Genomes

This tutorial is a part of the tutorial group Motifs and Domains. You might find the other tutorials in the group interesting:

Melina II: A Web-Based Tool for Promoter Analysis

Gibbs Motif Sampler: A motif finder and analysis tool

MEME Suite Sequence Annotation Tools: MEME suite motif finding and annotating tools

MDscan: Motif Discovery scan for nucleotide and protein motifs

PROSITE: Database of protein domains, families and functional sites

MEME Suite TOMTOM and GOMO algorithms: Motif discovery tool that can detect conserved motifs in a set of DNA or protein sequences that you provide

MEME Suite GLAM2 Algorithm: Part of a motif discovery tool that can detect conserved motifs in a set of DNA or protein sequences.

MEME Algorithm: Multiple Expectation Maximum for Motif Elicitation

MEME Suite Overview: Motif-based sequence analysis tools

SMART: Protein domain annotation and analysis of domain architectures

InterPro: A comprehensive protein signature resource


Proteins : Tools that are primarily used in the storage, retrieval, or exploration of amino acid based data. Some tools may also involve nucleotide sequence information.

Pathways and Interactions : Tools that are involved with protein interactions and pathway features. Some tools are primarily repositories and some offer analysis options.


Video Tip of the Week: Complex Portal with Super Curators: From the same team that brings us the IntAct database for protein interaction data, the Complex Portal offers insights for additional levels of protein interactions that are organized around a biologic...

Video Tip of the Week: InnateDB, Systems Biology of the Innate Immune Response: The immune system is challenging to study. Different people may mount different responses to assaults on their system--and sometimes the systems go into overdrive on stuff they shouldn't. Cracking the ...

What's the Answer? (host-pathogen pairs): BioStar is a site for asking, answering and discussing bioinformatics questions. We are members of thecommunity and find it very useful. Often questions and answers arise at BioStar that are germane to...

NAR database issue (always a treasure trove): The advance access release of most of the  NAR database issue articles is out. As usual, this this database issue includes a wealth of new and updated data repositories and analysis tools. We'll be wri...

Tip of the week: VirusMINT: In this week's tip I'd like to introduce you to VirusMINT. We found VirusMINT during our 'regularly scheduled' update of our Introductory tutorial on MINT, or the Molecular INTeraction database. We re...


Recent BioMed Central research articles citing this resource

Parkes E. Joanna et al., Systematic protein-protein interaction and pathway analyses in the idiopathic inflammatory myopathies. Arthritis Research Therapy (2016) doi:10.1186/s13075-016-1061-7

Iyappan Anandhi et al., NeuroRDF: semantic integration of highly curated data to prioritize biomarker candidates in Alzheimer"s disease. Journal of Biomedical Semantics (2016) doi:10.1186/s13326-016-0079-8

Yamagishi Hidetsugu et al., Molecular pathogenesis of sporadic colorectal cancers. Chinese Journal of Cancer (2016) doi:10.1186/s40880-015-0066-y

Muraro Daniele et al., An integrative analysis of gene expression and molecular interaction data to identify dys-regulated sub-networks in inflammatory bowel disease Networks analysis. BMC Bioinformatics (2016) doi:10.1186/s12859-016-0886-z

Yeh Shu-Hui et al., Differentiation of type 2 diabetes mellitus with different complications by proteomic analysis of plasma low abundance proteins. Journal of Diabetes Metabolic Disorders (2016) doi:10.1186/s40200-016-0246-6