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BIPS: BIANA Interolog Prediction Server. A tool for protein–protein interaction inference
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 t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394316/ https://www.ncbi.nlm.nih.gov/pubmed/22689642 http://dx.doi.org/10.1093/nar/gks553 |
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author | Garcia-Garcia, Javier Schleker, Sylvia Klein-Seetharaman, Judith Oliva, Baldo |
author_facet | Garcia-Garcia, Javier Schleker, Sylvia Klein-Seetharaman, Judith Oliva, Baldo |
author_sort | Garcia-Garcia, Javier |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3394316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33943162012-07-30 BIPS: BIANA Interolog Prediction Server. A tool for protein–protein interaction inference Garcia-Garcia, Javier Schleker, Sylvia Klein-Seetharaman, Judith Oliva, Baldo Nucleic Acids Res Articles 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. Oxford University Press 2012-07 2012-06-09 /pmc/articles/PMC3394316/ /pubmed/22689642 http://dx.doi.org/10.1093/nar/gks553 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Garcia-Garcia, Javier Schleker, Sylvia Klein-Seetharaman, Judith Oliva, Baldo BIPS: BIANA Interolog Prediction Server. A tool for protein–protein interaction inference |
title | BIPS: BIANA Interolog Prediction Server. A tool for protein–protein interaction inference |
title_full | BIPS: BIANA Interolog Prediction Server. A tool for protein–protein interaction inference |
title_fullStr | BIPS: BIANA Interolog Prediction Server. A tool for protein–protein interaction inference |
title_full_unstemmed | BIPS: BIANA Interolog Prediction Server. A tool for protein–protein interaction inference |
title_short | BIPS: BIANA Interolog Prediction Server. A tool for protein–protein interaction inference |
title_sort | bips: biana interolog prediction server. a tool for protein–protein interaction inference |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394316/ https://www.ncbi.nlm.nih.gov/pubmed/22689642 http://dx.doi.org/10.1093/nar/gks553 |
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