ArticleNucleic acids research2012
BIPS: BIANA Interolog Prediction Server. A tool for protein-protein interaction inference.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 71 citations in OpenAlex.
- A Genomic Investigation into the Probiotic Attributes Among Members of the Lactobacillaceae family.Current microbiology · 2025Article
- SENSE-PPI reconstructs interactomes within, across, and between species at the genome scale.iScience · 2024Article
- Building Protein-Protein Interaction Graph Database Using Neo4j.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Recent developments of sequence-based prediction of protein-protein interactions.Biophysical reviews · 2022Review
- HPIPred: Host-pathogen interactome prediction with phenotypic scoring.Computational and structural biotechnology journal · 2022Article
- Getting to know each other: PPIMem, a novel approach for predicting transmembrane protein-protein complexes.Computational and structural biotechnology journal · 2021Article
- BiomeNet: a database for construction and analysis of functional interaction networks for any species with a sequenced genome.Bioinformatics (Oxford, England) · 2020Article
- Identification of genes underlying phenotypic plasticity of wing size via insulin signaling pathway by network-based analysis in Sogatella furcifera.BMC genomics · 2019Article
- IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, mapping and mining analysis.BMC bioinformatics · 2019Article
- Inferring pathogen-host interactions between Leptospira interrogans and Homo sapiens using network theory.Scientific reports · 2019Article
- Article
- PlanNET: homology-based predicted interactome for multiple planarian transcriptomes.Bioinformatics (Oxford, England) · 2018Article
- Using structural knowledge in the protein data bank to inform the search for potential host-microbe protein interactions in sequence space: application to Mycobacterium tuberculosis.BMC bioinformatics · 2017Article
- In Silico Designing and Analysis of Inhibitors against Target Protein Identified through Host-Pathogen Protein Interactions in Malaria.International journal of medicinal chemistry · 2016Article
- Prediction of host - pathogen protein interactions between Mycobacterium tuberculosis and Homo sapiens using sequence motifs.BMC bioinformatics · 2015Article
- 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
- JiffyNet: a web-based instant protein network modeler for newly sequenced species.Nucleic acids research · 2013Article
- Protein-Protein Interactions: Gene Acronym Redundancies and Current Limitations Precluding Automated Data Integration.Proteomes · 2013Article
- Complementing the Eukaryotic Protein Interactome.PloS one · 2013Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-protein interactions (PPIs) play a crucial role in biology, and high-throughput experiments have greatly increased the coverage of known interactions. Still, identification of complete inter- and intraspecies interactomes is far from being complete. Experimental data can be complemented by the prediction of PPIs within an organism or between two organisms based on the known interactions of the orthologous genes of other organisms (interologs). Here, we present the BIANA (Biologic Interactions and Network Analysis) Interolog Prediction Server (BIPS), which offers a web-based interface to facilitate PPI predictions based on interolog information. BIPS benefits from the capabilities of the framework BIANA to integrate the several PPI-related databases. Additional metadata can be used to improve the reliability of the predicted interactions. Sensitivity and specificity of the server have been calculated using known PPIs from different interactomes using a leave-one-out approach. The specificity is between 72 and 98%, whereas sensitivity varies between 1 and 59%, depending on the sequence identity cut-off used to calculate similarities between sequences. BIPS is freely accessible at http://sbi.imim.es/BIPS.php.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.