Learn to use the IntAct resource, a protein interaction database with valuable tools that can be used to search for, analyze and graphically display protein interaction data from a wide variety of species. IntAct captures protein interaction data from peer-reviewed literature and direct user submissions. The data are generated from a wide variety of techniques and are extremely well-organized into many different levels that are easy to search and understand. This important tool will help the protein interaction researcher find and display interaction data with ease, using a database with over 190,000 binary interactions from over 10,000 curated experiments.

You will learn:

  • how to perform basic and advanced searches to find protein interaction data
  • to effectively navigate and understand the various data views
  • to graphically display and manipulate a protein interaction network
TUTORIAL RELATED CONTENT

TUTORIALS

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

MINT: Molecular Interaction Database

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

KEGG: KEGG, The Kyoto Encyclopedia of Genes and Genomes

CATEGORIES

EBI : This category includes all resources maintained at the European Bioinformatics Institute (EBI)

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.

BLOG POSTS

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 ...

Tip of the Week: iRefWeb + protein interaction curation: For this week's tip of the week I'm going to introduce iRefWeb, a resource that provides thousands of data points on protein-protein interactions.  If you follow this blog regularly, you may remember ...

Software bonanza...: Still enjoying the ICSB meeting, and it is a gorgeous fallish morning in Göteborg. What a great city and terrific people here. Not entirely sure I want to come home.... My brain is approaching "full" a...

BIOMED CENTRAL

Recent BioMed Central research articles citing this resource

Chicco Davide et al., Genome Informatics 2016. Genome Biology (2017) doi:10.1186/s13059-016-1135-5

Serrano-Solano Beatriz et al., How can functional annotations be derived from profiles of phenotypic annotations? Results and data. BMC Bioinformatics (2017) doi:10.1186/s12859-017-1503-5

Taghipour Shirin et al., Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources. BMC Bioinformatics (2017) doi:10.1186/s12859-016-1422-x

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

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