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Bioinformatics Research and Development Lab

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Personal tools

Interactomics

List-of-links for existing online resources (DB, software, methods).

APID

(Agile Protein Interaction DataAnalyzer) is an interactive bioinformatic web-tool that has been developed to allow exploration and analysis of main currently known information about protein-protein interactions integrated and unified in a common and comparative platform. The analytical and integrative effort done in APID provides an open access frame where all known experimentally validated protein-protein interactions are unified in a unique web application that allows an agile exploration of the interactome network and includes certain calculated parameters that weight the reliability of a given interaction (i.e. the "edges" of the interactome network) between two proteins, and also qualify the functional environment around any given protein (i.e. the "nodes" of the interactome network) .

BIND

Biomolecular INteraction Network Database at the University of Toronto, Canada. No species restriction

CYGD

PPI section of the Comprehensive Yeast Genome Database. Manually curated comprehensive S. cerevisiae PPI database at MIPS

DIP

Database of Interacting Proteins at UCLA. No species restriction. Experimentally determined interactions between proteins. Combined information from  variety of sources to create a single, consistent set of protein-protein interactions.

GRID

General Repository for Interaction Datasets. Mount Sinai Hospital, Toronto, Canada

HIV InteractionDB

Interactions between HIV and host proteins.

HPRD

The Human Protein Reference Database. Institute of Bioinformatics, Bangalore, India and Johns Hopkins University, Baltimore, MD, USA.

HPID

Human Protein Interaction Database. Department of computer Science and Information Engineering Inha University, Inchon, Korea

iHOP

iHOP (Information Hyperlinked over Proteins). Protein association network built by literature mining

IntAct

Protein interaction database at EBI. No species restriction. Check also this node http://cbi.labri.fr/eng/intact.htm

The Intact project, lead by EBI within the european TEMBLOR (The European Molecular Biology Linked Original resources) framework aims at developing a european federative database of protein-protein interactions and their annotations.

InterDom

Database of putative interacting protein domains. Institute for InfoComm Research, Singapore.

JCB

PPI site at the Jena Centre for Bioinformatics, Germany

MetaCore

Commercial software suite and database. Manually curated human PPIs (among other things). GeneGo

MINT

Molecular INTeraction database at the Centro di Bioinformatica Molecolare, Universita di Roma, Italy.

An inferred human network: HOMOMINT

MIPS

Mammalian protein-Protein Interaction Database is a collection of manually curated high-quality PPI data collected from the scientific literature by expert curators. The included data refer to individually performed experiments providing the most reliable evidence for physical interactions.

MRC PPI links

Commented list of links to PPI databases and resources maintained at the MRC Rosalind Franklin Cetre for Genomics Research, Cambridge, UK

OPHID

The Online Predicted Human Interaction Database. Ontario Cancer Institute and University of Toronto, Canada.

Pawson Lab

Information on protein-interaction domains.

PDZbase

Database of PDZ mediated protein-protein interactions.

Predictome

Predicted functional associations and interactions. Boston University.

Protein-Protein Interaction Server

Analysis of protein-protein interfaces of protein complexes from PDB. University College of London, UK.

PathCalling

Proteomics and PPI tool/database. CuraGen Corporation.

PIM

Hybrigenics PPI data and tool, H. pylori. Free academic license available

RIKEN

Experimental and literature PPIs in mouse.

STRING

Protein networks based on experimental data and predictions at EMBL.

YPD

"BioKnowledge Library" at Incyte Corporation. Manually curated PPI data from S. cerevisiae. Proprietary.


PPI related software



aiSee

Commercial graph layout software

Cytoscape

Open source software for visualization of PPI networks and data integration

graphviz

Graph layout software


Other tools

ProViz

Protein-protein interaction graphs visualisation tool.

Pajek

Analysis and Visualization of Large Networks.


PRIMOS

The PRIMOS (Protein Interaction and Molecule Search) database operates as an integrated knowledge portal for analysing integrated protein-protein interaction data.

Besides standard search options like public identifier searches, our advanced searches provide the possibility of analysing protein-protein interaction datasets integrated from multiple datasources.

  1. Network Hub Search: Highly connected protein interaction nodes are likely to represent cores of molecular networks. This search option allows to search for such protein hubs with a minimum number of public protein-protein interaction in a given organism

  2. Organism Cross-Talk Interaction Search: The identification of cross-talk interaction between organisms is of particular importance for the investigation of pathogen and host protein-protein interactions. This search option allows to search for protein-protein interactions between two organisms and the option of specifying a certain experimental method that revealed this interaction.

  3. Confirmed Interaction Search: For the identification of trustable, meaning protein-protein interactions confirmed by multiple experimental methods this search option can be used.


BlastSets

BlastSets is an implementation of a new strategy for the representation and the integration of biomolecular knowledge at the cellular scale [1]. Its main principles are: (a) to systematically bring up biological knowledge in the form of sets of biological entities (gene or protein sequences), (b) to organize sets within collections (denoted BlastSets Classifications) structured on a biological criterion (co-expression, co-localization, physical interaction, physico-chemical property, protein complex) and (c) to use a probabilistic model to compare such sets and derive a measure of similarity.

Based on these principles, the system allows to submit a list of sequence identifiers in order to retrieve similar sets. It also allows to compare all the sets of a collection (hierarchical clustering of expression profiles for example) to all the sets of one or more other collections (KEGG pathways, GeneOntology and EC numbers for example). This feature allows the rapid identification of biological functions of co-expressed clusters of genes as well as the identification of genome wide features relationships such as the relation between the co-localization of genes on chromosomes (operons) and the protein interactions or the co-intervention in biological pathways.


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