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PCfun: a hybrid computational framework for systematic characterization of protein complex function.
Sharma, Varun S; Fossati, Andrea; Ciuffa, Rodolfo; Buljan, Marija; Williams, Evan G; Chen, Zhen; Shao, Wenguang; Pedrioli, Patrick G A; Purcell, Anthony W; Martínez, María Rodríguez; Song, Jiangning; Manica, Matteo; Aebersold, Ruedi; Li, Chen.
Afiliación
  • Sharma VS; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland.
  • Fossati A; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
  • Ciuffa R; Quantitative Biosciences Institute (QBI) and Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA.
  • Buljan M; J. David Gladstone Institutes, San Francisco, CA 94158, USA.
  • Williams EG; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland.
  • Chen Z; Empa - Swiss Federal Laboratories for Materials Science and Technology, St. Gallen, Switzerland.
  • Shao W; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
  • Pedrioli PGA; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette Luxembourg.
  • Purcell AW; Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou 450046, China.
  • Martínez MR; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland.
  • Song J; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland.
  • Manica M; Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia.
  • Aebersold R; IBM Research Europe, Zurich, Switzerland.
  • Li C; Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia.
Brief Bioinform ; 23(4)2022 07 18.
Article en En | MEDLINE | ID: mdl-35724564
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas / Biología Computacional Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Suiza
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas / Biología Computacional Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Suiza