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Reconstruction and Validation of RefRec: A Global Model for the Yeast Molecular Interaction Network

Molecular interaction networks establish all cell biological processes. The networks are under intensive research that is facilitated by new high-throughput measurement techniques for the detection, quantification, and characterization of molecules and their physical interactions. For the common mod...

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Autores principales: Aho, Tommi, Almusa, Henrikki, Matilainen, Jukka, Larjo, Antti, Ruusuvuori, Pekka, Aho, Kaisa-Leena, Wilhelm, Thomas, Lähdesmäki, Harri, Beyer, Andreas, Harju, Manu, Chowdhury, Sharif, Leinonen, Kalle, Roos, Christophe, Yli-Harja, Olli
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2871048/
https://www.ncbi.nlm.nih.gov/pubmed/20498836
http://dx.doi.org/10.1371/journal.pone.0010662
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author Aho, Tommi
Almusa, Henrikki
Matilainen, Jukka
Larjo, Antti
Ruusuvuori, Pekka
Aho, Kaisa-Leena
Wilhelm, Thomas
Lähdesmäki, Harri
Beyer, Andreas
Harju, Manu
Chowdhury, Sharif
Leinonen, Kalle
Roos, Christophe
Yli-Harja, Olli
author_facet Aho, Tommi
Almusa, Henrikki
Matilainen, Jukka
Larjo, Antti
Ruusuvuori, Pekka
Aho, Kaisa-Leena
Wilhelm, Thomas
Lähdesmäki, Harri
Beyer, Andreas
Harju, Manu
Chowdhury, Sharif
Leinonen, Kalle
Roos, Christophe
Yli-Harja, Olli
author_sort Aho, Tommi
collection PubMed
description Molecular interaction networks establish all cell biological processes. The networks are under intensive research that is facilitated by new high-throughput measurement techniques for the detection, quantification, and characterization of molecules and their physical interactions. For the common model organism yeast Saccharomyces cerevisiae, public databases store a significant part of the accumulated information and, on the way to better understanding of the cellular processes, there is a need to integrate this information into a consistent reconstruction of the molecular interaction network. This work presents and validates RefRec, the most comprehensive molecular interaction network reconstruction currently available for yeast. The reconstruction integrates protein synthesis pathways, a metabolic network, and a protein-protein interaction network from major biological databases. The core of the reconstruction is based on a reference object approach in which genes, transcripts, and proteins are identified using their primary sequences. This enables their unambiguous identification and non-redundant integration. The obtained total number of different molecular species and their connecting interactions is ∼67,000. In order to demonstrate the capacity of RefRec for functional predictions, it was used for simulating the gene knockout damage propagation in the molecular interaction network in ∼590,000 experimentally validated mutant strains. Based on the simulation results, a statistical classifier was subsequently able to correctly predict the viability of most of the strains. The results also showed that the usage of different types of molecular species in the reconstruction is important for accurate phenotype prediction. In general, the findings demonstrate the benefits of global reconstructions of molecular interaction networks. With all the molecular species and their physical interactions explicitly modeled, our reconstruction is able to serve as a valuable resource in additional analyses involving objects from multiple molecular -omes. For that purpose, RefRec is freely available in the Systems Biology Markup Language format.
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spelling pubmed-28710482010-05-24 Reconstruction and Validation of RefRec: A Global Model for the Yeast Molecular Interaction Network Aho, Tommi Almusa, Henrikki Matilainen, Jukka Larjo, Antti Ruusuvuori, Pekka Aho, Kaisa-Leena Wilhelm, Thomas Lähdesmäki, Harri Beyer, Andreas Harju, Manu Chowdhury, Sharif Leinonen, Kalle Roos, Christophe Yli-Harja, Olli PLoS One Research Article Molecular interaction networks establish all cell biological processes. The networks are under intensive research that is facilitated by new high-throughput measurement techniques for the detection, quantification, and characterization of molecules and their physical interactions. For the common model organism yeast Saccharomyces cerevisiae, public databases store a significant part of the accumulated information and, on the way to better understanding of the cellular processes, there is a need to integrate this information into a consistent reconstruction of the molecular interaction network. This work presents and validates RefRec, the most comprehensive molecular interaction network reconstruction currently available for yeast. The reconstruction integrates protein synthesis pathways, a metabolic network, and a protein-protein interaction network from major biological databases. The core of the reconstruction is based on a reference object approach in which genes, transcripts, and proteins are identified using their primary sequences. This enables their unambiguous identification and non-redundant integration. The obtained total number of different molecular species and their connecting interactions is ∼67,000. In order to demonstrate the capacity of RefRec for functional predictions, it was used for simulating the gene knockout damage propagation in the molecular interaction network in ∼590,000 experimentally validated mutant strains. Based on the simulation results, a statistical classifier was subsequently able to correctly predict the viability of most of the strains. The results also showed that the usage of different types of molecular species in the reconstruction is important for accurate phenotype prediction. In general, the findings demonstrate the benefits of global reconstructions of molecular interaction networks. With all the molecular species and their physical interactions explicitly modeled, our reconstruction is able to serve as a valuable resource in additional analyses involving objects from multiple molecular -omes. For that purpose, RefRec is freely available in the Systems Biology Markup Language format. Public Library of Science 2010-05-14 /pmc/articles/PMC2871048/ /pubmed/20498836 http://dx.doi.org/10.1371/journal.pone.0010662 Text en Aho 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
Aho, Tommi
Almusa, Henrikki
Matilainen, Jukka
Larjo, Antti
Ruusuvuori, Pekka
Aho, Kaisa-Leena
Wilhelm, Thomas
Lähdesmäki, Harri
Beyer, Andreas
Harju, Manu
Chowdhury, Sharif
Leinonen, Kalle
Roos, Christophe
Yli-Harja, Olli
Reconstruction and Validation of RefRec: A Global Model for the Yeast Molecular Interaction Network
title Reconstruction and Validation of RefRec: A Global Model for the Yeast Molecular Interaction Network
title_full Reconstruction and Validation of RefRec: A Global Model for the Yeast Molecular Interaction Network
title_fullStr Reconstruction and Validation of RefRec: A Global Model for the Yeast Molecular Interaction Network
title_full_unstemmed Reconstruction and Validation of RefRec: A Global Model for the Yeast Molecular Interaction Network
title_short Reconstruction and Validation of RefRec: A Global Model for the Yeast Molecular Interaction Network
title_sort reconstruction and validation of refrec: a global model for the yeast molecular interaction network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2871048/
https://www.ncbi.nlm.nih.gov/pubmed/20498836
http://dx.doi.org/10.1371/journal.pone.0010662
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