InteroPorc: Automated Inference of Highly Conserved Protein Interaction Networks.

@article{citeulike:2856223, abstract = {MOTIVATION: Protein-protein interaction networks provide insights into the relationships between the proteins of an organism thereby contributing to a better understanding of cellular processes. Nevertheless, large-scale interaction networks are available for only a few model organisms. Thus, interologs are useful for a systematic transfer of protein interaction networks between organisms. However, no standard tool is available so far for that purpose. RESULTS: In this study, we present an automated prediction tool developed for all sequenced genomes available in Integr8. We also have developed a second method to predict protein-protein interactions in the widely used cyanobacterium Synechocystis. Using these methods, we have constructed a new network of 8,783 inferred interactions for Synechocystis. AVAILABILITY: InteroPorc is open-source, downloadable and usable through a web interface at http://biodev.extra.cea.fr/interoporc/ CONTACT: michaut.bioinfo@gmail.com, jean-christophe.aude@cea.fr SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.}, address = {CEA, IBITECS, Gif sur Yvette, F-91191, France.}, author = {Michaut, Magali and Kerrien, Samuel and Montecchi-Palazzi, Luisa and Chauvat, Franck and Cassier-Chauvat, Corinne and Aude, Jean-Christophe C. and Legrain, Pierre }, citeulike-article-id = {2856223}, doi = {http://dx.doi.org/10.1093/bioinformatics/btn249}, issn = {1460-2059}, journal = {Bioinformatics (Oxford, England)}, keywords = {bioinformatics, interaction, network, prediction, protein-protein}, month = {May}, posted-at = {2008-07-07 14:13:12}, priority = {2}, title = {InteroPorc: Automated Inference of Highly Conserved Protein Interaction Networks.}, url = {http://dx.doi.org/10.1093/bioinformatics/btn249}, year = {2008} }

TY - JOUR ID - citeulike:2856223 L3 - citeulike-article-id:2856223 TI - InteroPorc: Automated Inference of Highly Conserved Protein Interaction Networks. JF - Bioinformatics (Oxford, England) AD - CEA, IBITECS, Gif sur Yvette, F-91191, France. SN - 1460-2059 N2 - MOTIVATION: Protein-protein interaction networks provide insights into the relationships between the proteins of an organism thereby contributing to a better understanding of cellular processes. Nevertheless, large-scale interaction networks are available for only a few model organisms. Thus, interologs are useful for a systematic transfer of protein interaction networks between organisms. However, no standard tool is available so far for that purpose. RESULTS: In this study, we present an automated prediction tool developed for all sequenced genomes available in Integr8. We also have developed a second method to predict protein-protein interactions in the widely used cyanobacterium Synechocystis. Using these methods, we have constructed a new network of 8,783 inferred interactions for Synechocystis. AVAILABILITY: InteroPorc is open-source, downloadable and usable through a web interface at http://biodev.extra.cea.fr/interoporc/ CONTACT: michaut.bioinfo@gmail.com, jean-christophe.aude@cea.fr SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. KW - bioinformatics KW - interaction KW - network KW - prediction KW - protein-protein AU - Michaut, Magali AU - Kerrien, Samuel AU - Montecchi-Palazzi, Luisa AU - Chauvat, Franck AU - Cassier-Chauvat, Corinne AU - Aude, Jean-Christophe AU - Legrain, Pierre PY - 2008/05/28/ UR - http://dx.doi.org/10.1093/bioinformatics/btn249 ER -