ArticleBMC bioinformatics2011
Bio::Homology::InterologWalk--a Perl module to build putative protein-protein interaction networks through interolog mapping.
Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Synaptic Interactome Mining Reveals p140Cap as a New Hub for PSD Proteins Involved in Psychiatric and Neurological Disorders.Frontiers in molecular neuroscience · 2017Article
- Ensembl core software resources: storage and programmatic access for DNA sequence and genome annotation.Database : the journal of biological databases and curation · 2017Article
- PPCM: Combing Multiple Classifiers to Improve Protein-Protein Interaction Prediction.International journal of genomics · 2015Article
- Homology-based prediction of interactions between proteins using Averaged One-Dependence Estimators.BMC bioinformatics · 2014Article
- Complementing the Eukaryotic Protein Interactome.PloS one · 2013Article
- BIPS: BIANA Interolog Prediction Server. A tool for protein-protein interaction inference.Nucleic acids research · 2012Article
- Inferring the Brassica rapa Interactome Using Protein-Protein Interaction Data from Arabidopsis thaliana.Frontiers in plant science · 2012Article
- What evidence is there for the homology of protein-protein interactions?PLoS computational biology · 2012Article
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4 authors.
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Abstract
backgroundProtein-protein interaction (PPI) data are widely used to generate network models that aim to describe the relationships between proteins in biological systems. The fidelity and completeness of such networks is primarily limited by the paucity of protein interaction information and by the restriction of most of these data to just a few widely studied experimental organisms. In order to extend the utility of existing PPIs, computational methods can be used that exploit functional conservation between orthologous proteins across taxa to predict putative PPIs or 'interologs'. To date most interolog prediction efforts have been restricted to specific biological domains with fixed underlying data sources and there are no software tools available that provide a generalised framework for 'on-the-fly' interolog prediction.
resultsWe introduce Bio::Homology::InterologWalk, a Perl module to retrieve, prioritise and visualise putative protein-protein interactions through an orthology-walk method. The module uses orthology and experimental interaction data to generate putative PPIs and optionally collates meta-data into an Interaction Prioritisation Index that can be used to help prioritise interologs for further analysis. We show the application of our interolog prediction method to the genomic interactome of the fruit fly, Drosophila melanogaster. We analyse the resulting interaction networks and show that the method proposes new interactome members and interactions that are candidates for future experimental investigation.
conclusionsOur interolog prediction tool employs the Ensembl Perl API and PSICQUIC enabled protein interaction data sources to generate up to date interologs 'on-the-fly'. This represents a significant advance on previous methods for interolog prediction as it allows the use of the latest orthology and protein interaction data for all of the genomes in Ensembl. The module outputs simple text files, making it easy to customise the results by post-processing, allowing the putative PPI datasets to be easily integrated into existing analysis workflows. The Bio::Homology::InterologWalk module, sample scripts and full documentation are freely available from the Comprehensive Perl Archive Network (CPAN) under the GNU Public license.
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