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Physicochemical and metabolic constraints for thermodynamics-based stoichiometric modelling under mesophilic growth conditions.
Tomi-Andrino, Claudio; Norman, Rupert; Millat, Thomas; Soucaille, Philippe; Winzer, Klaus; Barrett, David A; King, John; Kim, Dong-Hyun.
Afiliação
  • Tomi-Andrino C; Centre for Analytical Bioscience, Advanced Materials and Healthcare Technologies Division, School of Pharmacy, University of Nottingham, Nottingham, United Kingdom.
  • Norman R; Nottingham BBSRC/EPSRC Synthetic Biology Research Centre (SBRC), School of Life Sciences, BioDiscovery Institute, University of Nottingham, Nottingham, United Kingdom.
  • Millat T; Nottingham BBSRC/EPSRC Synthetic Biology Research Centre (SBRC), School of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom.
  • Soucaille P; Nottingham BBSRC/EPSRC Synthetic Biology Research Centre (SBRC), School of Life Sciences, BioDiscovery Institute, University of Nottingham, Nottingham, United Kingdom.
  • Winzer K; Nottingham BBSRC/EPSRC Synthetic Biology Research Centre (SBRC), School of Life Sciences, BioDiscovery Institute, University of Nottingham, Nottingham, United Kingdom.
  • Barrett DA; Nottingham BBSRC/EPSRC Synthetic Biology Research Centre (SBRC), School of Life Sciences, BioDiscovery Institute, University of Nottingham, Nottingham, United Kingdom.
  • King J; INSA, UPS, INP, Toulouse Biotechnology Institute, (TBI), Université de Toulouse, Toulouse, France.
  • Kim DH; INRA, UMR792, Toulouse, France.
PLoS Comput Biol ; 17(1): e1007694, 2021 01.
Article em En | MEDLINE | ID: mdl-33493151
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Metabolômica / Análise do Fluxo Metabólico / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Metabolômica / Análise do Fluxo Metabólico / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido