In silico method for modelling metabolism and gene product expression at genome scale
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DOI: 10.1038/ncomms1928
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Cited by:
- Alexander Kroll & Yvan Rousset & Xiao-Pan Hu & Nina A. Liebrand & Martin J. Lercher, 2023. "Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
- Hao Leng & Yinzhao Wang & Weishu Zhao & Stefan M. Sievert & Xiang Xiao, 2023. "Identification of a deep-branching thermophilic clade sheds light on early bacterial evolution," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
- Iván Domenzain & Benjamín Sánchez & Mihail Anton & Eduard J. Kerkhoven & Aarón Millán-Oropeza & Céline Henry & Verena Siewers & John P. Morrissey & Nikolaus Sonnenschein & Jens Nielsen, 2022. "Reconstruction of a catalogue of genome-scale metabolic models with enzymatic constraints using GECKO 2.0," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
- Christian Schulz & Tjasa Kumelj & Emil Karlsen & Eivind Almaas, 2021. "Genome-scale metabolic modelling when changes in environmental conditions affect biomass composition," PLOS Computational Biology, Public Library of Science, vol. 17(5), pages 1-22, May.
- Robert Planqué & Josephus Hulshof & Bas Teusink & Johannes C Hendriks & Frank J Bruggeman, 2018. "Maintaining maximal metabolic flux by gene expression control," PLOS Computational Biology, Public Library of Science, vol. 14(9), pages 1-20, September.
- Philipp Wendering & Marius Arend & Zahra Razaghi-Moghadam & Zoran Nikoloski, 2023. "Data integration across conditions improves turnover number estimates and metabolic predictions," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
- Ambros M. Gleixner & Daniel E. Steffy & Kati Wolter, 2016. "Iterative Refinement for Linear Programming," INFORMS Journal on Computing, INFORMS, vol. 28(3), pages 449-464, August.
- Guido Zampieri & Supreeta Vijayakumar & Elisabeth Yaneske & Claudio Angione, 2019. "Machine and deep learning meet genome-scale metabolic modeling," PLOS Computational Biology, Public Library of Science, vol. 15(7), pages 1-24, July.
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