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Predicting proteome allocation, overflow metabolism, and metal requirements in a model acetogen.
Liu, Joanne K; Lloyd, Colton; Al-Bassam, Mahmoud M; Ebrahim, Ali; Kim, Ji-Nu; Olson, Connor; Aksenov, Alexander; Dorrestein, Pieter; Zengler, Karsten.
Afiliação
  • Liu JK; Bioinformatics and Systems Biology, University of California, San Diego, La Jolla, California, United States of America.
  • Lloyd C; Department of Bioengineering, University of California, San Diego, La Jolla, California, United States of America.
  • Al-Bassam MM; Department of Pediatrics, University of California, San Diego, La Jolla, California, United States of America.
  • Ebrahim A; Department of Bioengineering, University of California, San Diego, La Jolla, California, United States of America.
  • Kim JN; Department of Pediatrics, University of California, San Diego, La Jolla, California, United States of America.
  • Olson C; Department of Bioengineering, University of California, San Diego, La Jolla, California, United States of America.
  • Aksenov A; Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, California, United States of America.
  • Dorrestein P; Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, California, United States of America.
  • Zengler K; Department of Pediatrics, University of California, San Diego, La Jolla, California, United States of America.
PLoS Comput Biol ; 15(3): e1006848, 2019 03.
Article em En | MEDLINE | ID: mdl-30845144
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Clostridium / Proteoma / Metais / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Clostridium / Proteoma / Metais / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article