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Integrative proteomics and bioinformatic prediction enable a high-confidence apicoplast proteome in malaria parasites.
Boucher, Michael J; Ghosh, Sreejoyee; Zhang, Lichao; Lal, Avantika; Jang, Se Won; Ju, An; Zhang, Shuying; Wang, Xinzi; Ralph, Stuart A; Zou, James; Elias, Joshua E; Yeh, Ellen.
Afiliación
  • Boucher MJ; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, United States of America.
  • Ghosh S; Department of Biochemistry, Stanford University School of Medicine, Stanford, California, United States of America.
  • Zhang L; Department of Biochemistry, Stanford University School of Medicine, Stanford, California, United States of America.
  • Lal A; Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, California, United States of America.
  • Jang SW; Department of Pathology, Stanford University School of Medicine, Stanford, California, United States of America.
  • Ju A; Department of Computer Science, Stanford University, Stanford, California, United States of America.
  • Zhang S; Department of Bioengineering, Stanford University, Stanford, California, United States of America.
  • Wang X; Department of Bioengineering, Stanford University, Stanford, California, United States of America.
  • Ralph SA; Department of Bioengineering, Stanford University, Stanford, California, United States of America.
  • Zou J; Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, Vic, Australia.
  • Elias JE; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California, United States of America.
  • Yeh E; Chan Zuckerberg Biohub, San Francisco, California, United States of America.
PLoS Biol ; 16(9): e2005895, 2018 09.
Article en En | MEDLINE | ID: mdl-30212465
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Parásitos / Proteínas Protozoarias / Biología Computacional / Proteoma / Proteómica / Apicoplastos / Malaria Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: PLoS Biol Asunto de la revista: BIOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Parásitos / Proteínas Protozoarias / Biología Computacional / Proteoma / Proteómica / Apicoplastos / Malaria Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: PLoS Biol Asunto de la revista: BIOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos