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Castillo2016 - Whole-genome metabolic model of U.maydis using CoReCo


ABSTRACT: This model was reconstructed with CoReCo method from protein sequence and phylogeny data. CoReCo is described in Pitkanen, E., Jouhten, P., Hou, J., Syed, M. F., Blomberg, P., Kludas, J., Oja, M., Holm, L., Penttila, M., Rousu, J. and Arvas, M. (2014). Comparative Genome-Scale Reconstruction of Gapless Metabolic Networks for Present and Ancestral Species. PLoS Computational Biology, 10(2), e1003465. doi:10.1371/journal.pcbi.1003465 and Castillo, S., Barth, D., Arvas, M., Pakula, TM., Pitkanen, E., Blomberg, P., Penttila M., Oja M. Whole genome metabolic model of Trichoderma reesei built by comparative reconstruction. CoReCo annotates each reaction with the following attributes: reco:balanced: True, if reaction is in stoichiometric balance. reco:posterior: CoReCo phase II probability reco:cost: CoReCo phase II log-score reco:level: High, if cost below reconstruction threshold, and Low, if cost above reconstruction threshold. A reaction with level=Low only appears in reconstruction to gapfill a reaction with level=High. reco:naivep: CoReCo phase I probability. reco:btscore: CoReCo phase II probability considering only BLAST as input. reco:gtscore: CoReCo phase II probability considering only GTG as input. reco:bscore: CoReCo BLAST score reco:bseq1: Protein sequence in target species with highest BLAST score reco:bseq2: Protein sequence in UniProt with highest BLAST score reco:gscore: CoReCo GTG score reco:gseq1: Protein sequence in target species reco:gseq2: Protein sequence in GTG database with highest GTG score

SUBMITTER: Vijayalakshmi Chelliah  

PROVIDER: MODEL1604280020 | BioModels | 2016-12-02

REPOSITORIES: BioModels

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Whole-genome metabolic model of <i>Trichoderma reesei</i> built by comparative reconstruction.

Castillo Sandra S   Castillo Sandra S   Barth Dorothee D   Arvas Mikko M   Pakula Tiina M TM   Pitkänen Esa E   Blomberg Peter P   Seppanen-Laakso Tuulikki T   Nygren Heli H   Sivasiddarthan Dhinakaran D   Penttilä Merja M   Oja Merja M  

Biotechnology for biofuels 20161121


<h4>Background</h4><i>Trichoderma reesei</i> is one of the main sources of biomass-hydrolyzing enzymes for the biotechnology industry. There is a need for improving its enzyme production efficiency. The use of metabolic modeling for the simulation and prediction of this organism's metabolism is potentially a valuable tool for improving its capabilities. An accurate metabolic model is needed to perform metabolic modeling analysis.<h4>Results</h4>A whole-genome metabolic model of <i>T. reesei</i>  ...[more]

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