Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/60616
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Vieira, Vítor | por |
dc.contributor.author | Maia, Paulo | por |
dc.contributor.author | Rocha, Miguel | por |
dc.contributor.author | Rocha, I. | por |
dc.date.accessioned | 2019-06-21T11:13:40Z | - |
dc.date.available | 2019-06-21T11:13:40Z | - |
dc.date.issued | 2019-06-20 | - |
dc.date.submitted | 2019-04 | - |
dc.identifier.citation | Vieira, Vítor; Maia, Paulo; Rocha, Miguel; Rocha, Isabel, Comparison of pathway analysis and constraint-based methods for cell factory design. BMC Bioinformatics, 20(350), 2019 | por |
dc.identifier.issn | 1471-2105 | por |
dc.identifier.uri | https://hdl.handle.net/1822/60616 | - |
dc.description.abstract | Computational strain optimisation methods (CSOMs) have been successfully used to exploit genome-scale metabolic models, yielding strategies useful for allowing compound overproduction in metabolic cell factories. Minimal cut sets are particularly interesting since their definition allows searching for intervention strategies that impose strong growth-coupling phenotypes, and are not subject to optimality bias when compared with simulation-based CSOMs. However, since both types of methods have different underlying principles, they also imply different ways to formulate metabolic engineering problems, posing an obstacle when comparing their outputs. | por |
dc.description.sponsorship | “DeYeastLibrary – Designer yeast strain library optimized for metabolic engineering applications”, Ref.ERA-IB-2/0003/2013, funded by national funds through FCT/MCTES, DD-DeCaf and SHIKIFACTORY100, both funded by the European Union through the Horizon 2020 research and innovation programme (grant agreements no. 686070 and 814408). This study was also supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2019 unit and BioTecNorte operation (NORTE-01-0145-FEDER-000004) funded by the European Regional Development Fund under the scope of Norte2020 - Programa Operacional Regional do Norte. The authors acknowledge the use of computing facilities within the scope of the Search-ON2: Revitalization of HPC infrastructure of UMinho” project (NORTE-07-0162-FEDER-000086), co-funded by the North Portugal Regional Operational Programme (ON.2 – O Novo Norte), under the National Strategic Reference Framework (NSRF), through the European Regional Development Fund (ERDF). VV also thanks funding from FCT/MCTES for the PhD studentship with reference SFRH/BD/118657/2016. | por |
dc.language.iso | eng | por |
dc.publisher | Springer Nature | por |
dc.rights | openAccess | por |
dc.subject | Genome-scale metabolic models | por |
dc.subject | Computational strain design | por |
dc.subject | Metabolic pathway analysis | por |
dc.subject | Evolutionary algorithms | por |
dc.subject | Minimal cut sets | por |
dc.subject | Growth-coupled product synthesis | por |
dc.title | Comparison of pathway analysis and constraint-based methods for cell factory design | por |
dc.type | article | - |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2934-y | por |
dc.comments | CEB51764 | por |
oaire.citationIssue | 350 | por |
oaire.citationConferencePlace | United Kingdom | - |
oaire.citationVolume | 20 | por |
dc.date.updated | 2019-06-21T10:11:05Z | - |
dc.identifier.eissn | 1471-2105 | por |
dc.identifier.doi | 10.1186/s12859-019-2934-y | por |
dc.identifier.pmid | 31221092 | por |
dc.subject.fos | Ciências Médicas::Biotecnologia Médica | por |
dc.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | BMC Bioinformatics | - |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_51764_1.pdf | 1,43 MB | Adobe PDF | Ver/Abrir |