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Pushing Structural Information into the Yeast Interactome by High-Throughput Protein Docking Experiments

The last several years have seen the consolidation of high-throughput proteomics initiatives to identify and characterize protein interactions and macromolecular complexes in model organisms. In particular, more that 10,000 high-confidence protein-protein interactions have been described between the...

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Autores principales: Mosca, Roberto, Pons, Carles, Fernández-Recio, Juan, Aloy, Patrick
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2722787/
https://www.ncbi.nlm.nih.gov/pubmed/19714207
http://dx.doi.org/10.1371/journal.pcbi.1000490
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author Mosca, Roberto
Pons, Carles
Fernández-Recio, Juan
Aloy, Patrick
author_facet Mosca, Roberto
Pons, Carles
Fernández-Recio, Juan
Aloy, Patrick
author_sort Mosca, Roberto
collection PubMed
description The last several years have seen the consolidation of high-throughput proteomics initiatives to identify and characterize protein interactions and macromolecular complexes in model organisms. In particular, more that 10,000 high-confidence protein-protein interactions have been described between the roughly 6,000 proteins encoded in the budding yeast genome (Saccharomyces cerevisiae). However, unfortunately, high-resolution three-dimensional structures are only available for less than one hundred of these interacting pairs. Here, we expand this structural information on yeast protein interactions by running the first-ever high-throughput docking experiment with some of the best state-of-the-art methodologies, according to our benchmarks. To increase the coverage of the interaction space, we also explore the possibility of using homology models of varying quality in the docking experiments, instead of experimental structures, and assess how it would affect the global performance of the methods. In total, we have applied the docking procedure to 217 experimental structures and 1,023 homology models, providing putative structural models for over 3,000 protein-protein interactions in the yeast interactome. Finally, we analyze in detail the structural models obtained for the interaction between SAM1-anthranilate synthase complex and the MET30-RNA polymerase III to illustrate how our predictions can be straightforwardly used by the scientific community. The results of our experiment will be integrated into the general 3D-Repertoire pipeline, a European initiative to solve the structures of as many as possible protein complexes in yeast at the best possible resolution. All docking results are available at http://gatealoy.pcb.ub.es/HT_docking/.
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spelling pubmed-27227872009-08-28 Pushing Structural Information into the Yeast Interactome by High-Throughput Protein Docking Experiments Mosca, Roberto Pons, Carles Fernández-Recio, Juan Aloy, Patrick PLoS Comput Biol Research Article The last several years have seen the consolidation of high-throughput proteomics initiatives to identify and characterize protein interactions and macromolecular complexes in model organisms. In particular, more that 10,000 high-confidence protein-protein interactions have been described between the roughly 6,000 proteins encoded in the budding yeast genome (Saccharomyces cerevisiae). However, unfortunately, high-resolution three-dimensional structures are only available for less than one hundred of these interacting pairs. Here, we expand this structural information on yeast protein interactions by running the first-ever high-throughput docking experiment with some of the best state-of-the-art methodologies, according to our benchmarks. To increase the coverage of the interaction space, we also explore the possibility of using homology models of varying quality in the docking experiments, instead of experimental structures, and assess how it would affect the global performance of the methods. In total, we have applied the docking procedure to 217 experimental structures and 1,023 homology models, providing putative structural models for over 3,000 protein-protein interactions in the yeast interactome. Finally, we analyze in detail the structural models obtained for the interaction between SAM1-anthranilate synthase complex and the MET30-RNA polymerase III to illustrate how our predictions can be straightforwardly used by the scientific community. The results of our experiment will be integrated into the general 3D-Repertoire pipeline, a European initiative to solve the structures of as many as possible protein complexes in yeast at the best possible resolution. All docking results are available at http://gatealoy.pcb.ub.es/HT_docking/. Public Library of Science 2009-08-28 /pmc/articles/PMC2722787/ /pubmed/19714207 http://dx.doi.org/10.1371/journal.pcbi.1000490 Text en Mosca et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Mosca, Roberto
Pons, Carles
Fernández-Recio, Juan
Aloy, Patrick
Pushing Structural Information into the Yeast Interactome by High-Throughput Protein Docking Experiments
title Pushing Structural Information into the Yeast Interactome by High-Throughput Protein Docking Experiments
title_full Pushing Structural Information into the Yeast Interactome by High-Throughput Protein Docking Experiments
title_fullStr Pushing Structural Information into the Yeast Interactome by High-Throughput Protein Docking Experiments
title_full_unstemmed Pushing Structural Information into the Yeast Interactome by High-Throughput Protein Docking Experiments
title_short Pushing Structural Information into the Yeast Interactome by High-Throughput Protein Docking Experiments
title_sort pushing structural information into the yeast interactome by high-throughput protein docking experiments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2722787/
https://www.ncbi.nlm.nih.gov/pubmed/19714207
http://dx.doi.org/10.1371/journal.pcbi.1000490
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