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Expanding biochemical knowledge and illuminating metabolic dark matter with ATLASx.
MohammadiPeyhani, Homa; Hafner, Jasmin; Sveshnikova, Anastasia; Viterbo, Victor; Hatzimanikatis, Vassily.
Affiliation
  • MohammadiPeyhani H; Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland.
  • Hafner J; Pharmaceutical Research and Early Development, Roche Glycart AG, 8952, Schlieren, Switzerland.
  • Sveshnikova A; Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland.
  • Viterbo V; Department of Environmental Chemistry, EAWAG Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, CH-8600, Dübendorf, Switzerland.
  • Hatzimanikatis V; Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland.
Nat Commun ; 13(1): 1560, 2022 03 23.
Article in En | MEDLINE | ID: mdl-35322036
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biochemical Phenomena / Metabolic Networks and Pathways Type of study: Prognostic_studies Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2022 Document type: Article Affiliation country: Suiza Country of publication: Reino Unido
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biochemical Phenomena / Metabolic Networks and Pathways Type of study: Prognostic_studies Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2022 Document type: Article Affiliation country: Suiza Country of publication: Reino Unido