Your browser doesn't support javascript.
loading
Constraint-based modeling of carbon fixation and the energetics of electron transfer in Geobacter metallireducens.
Feist, Adam M; Nagarajan, Harish; Rotaru, Amelia-Elena; Tremblay, Pier-Luc; Zhang, Tian; Nevin, Kelly P; Lovley, Derek R; Zengler, Karsten.
Afiliación
  • Feist AM; Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America.
  • Nagarajan H; Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America.
  • Rotaru AE; Department of Microbiology, University of Massachusetts, Amherst, Massachusetts, United States of America.
  • Tremblay PL; Department of Microbiology, University of Massachusetts, Amherst, Massachusetts, United States of America.
  • Zhang T; Department of Microbiology, University of Massachusetts, Amherst, Massachusetts, United States of America.
  • Nevin KP; Department of Microbiology, University of Massachusetts, Amherst, Massachusetts, United States of America.
  • Lovley DR; Department of Microbiology, University of Massachusetts, Amherst, Massachusetts, United States of America.
  • Zengler K; Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America.
PLoS Comput Biol ; 10(4): e1003575, 2014 Apr.
Article en En | MEDLINE | ID: mdl-24762737
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carbono / Geobacter / Transporte de Electrón / Metabolismo Energético / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carbono / Geobacter / Transporte de Electrón / Metabolismo Energético / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos