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...

Full description

Bibliographic Details
Main Authors: Roberto Mosca, Carles Pons, Juan Fernández-Recio, Patrick Aloy
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-08-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC2722787?pdf=render
id doaj-7f1cf3b4d4814316901dbd458bbc104b
record_format Article
spelling doaj-7f1cf3b4d4814316901dbd458bbc104b2020-11-25T02:19:34ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582009-08-0158e100049010.1371/journal.pcbi.1000490Pushing structural information into the yeast interactome by high-throughput protein docking experiments.Roberto MoscaCarles PonsJuan Fernández-RecioPatrick AloyThe 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/.http://europepmc.org/articles/PMC2722787?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Roberto Mosca
Carles Pons
Juan Fernández-Recio
Patrick Aloy
spellingShingle Roberto Mosca
Carles Pons
Juan Fernández-Recio
Patrick Aloy
Pushing structural information into the yeast interactome by high-throughput protein docking experiments.
PLoS Computational Biology
author_facet Roberto Mosca
Carles Pons
Juan Fernández-Recio
Patrick Aloy
author_sort Roberto Mosca
title 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_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_sort pushing structural information into the yeast interactome by high-throughput protein docking experiments.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2009-08-01
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/.
url http://europepmc.org/articles/PMC2722787?pdf=render
work_keys_str_mv AT robertomosca pushingstructuralinformationintotheyeastinteractomebyhighthroughputproteindockingexperiments
AT carlespons pushingstructuralinformationintotheyeastinteractomebyhighthroughputproteindockingexperiments
AT juanfernandezrecio pushingstructuralinformationintotheyeastinteractomebyhighthroughputproteindockingexperiments
AT patrickaloy pushingstructuralinformationintotheyeastinteractomebyhighthroughputproteindockingexperiments
_version_ 1724875824610410496