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

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

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

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

Kazemi Ehsan et al., PROPER: global protein interaction network alignment through percolation matching Networks analysis. BMC Bioinformatics (2016) doi:10.1186/s12859-016-1395-9