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Dimethyl fumarate in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial

Dimethyl fumarate (DMF) is an anti-inflammatory drug proposed as a treatment for COVID19. Here the results are reported from a randomised trial testing DMF treatment in 713 patients hospitalised with COVID-19. DMF was not associated with any improvement in day 5 outcomes.

Peter Sandercock
Janet Darbyshire
Martin J. Landray
ResearchOpen Access31 Jan 2024
Nature Communications

Volume: 15, P: 1-13
Principles of proteome allocation are revealed using proteomic data and genome-scale models

Laurence Yang
James T. Yurkovich
Bernhard O. Palsson
ResearchOpen Access18 Nov 2016
Scientific Reports

Volume: 6, P: 1-8
Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models

Experimental data on enzyme turnover numbers is sparse and noisy. Here, the authors use machine learning to successfully predict enzyme turnover numbers for E. coli, and show that using these to parameterize mechanistic genome-scale models enhances their predictive accuracy.

David Heckmann
Colton J. Lloyd
Bernhard O. Palsson
ResearchOpen Access07 Dec 2018
Nature Communications

Volume: 9, P: 1-10
Reconstructing organisms in silico: genome-scale models and their emerging applications

Genome-scale models (GEMs) are mathematical representations of reconstructed networks that facilitate computation and prediction of phenotypes, and are useful tools for predicting the biological capabilities of microorganisms. In this Review, Fang, Lloyd and Palsson discuss the development and the emerging application of GEMs.

Xin Fang
Colton J. Lloyd
Bernhard O. Palsson
Reviews21 Sept 2020
Nature Reviews Microbiology

Volume: 18, P: 731-743
iML1515, a knowledgebase that computes Escherichia coli traits

Jonathan M Monk
Colton J Lloyd
Bernhard O Palsson
Correspondence11 Oct 2017
Nature Biotechnology

Volume: 35, P: 904-908
Predicting stress response and improved protein overproduction in Bacillus subtilis

Juan D. Tibocha-Bonilla
Cristal Zuñiga
Karsten Zengler
ResearchOpen Access27 Dec 2022
npj Systems Biology and Applications

Volume: 8, P: 1-12

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Dimethyl fumarate in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial

Principles of proteome allocation are revealed using proteomic data and genome-scale models

Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models

Reconstructing organisms in silico: genome-scale models and their emerging applications

iML1515, a knowledgebase that computes Escherichia coli traits

Predicting stress response and improved protein overproduction in Bacillus subtilis

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Dimethyl fumarate in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial

Principles of proteome allocation are revealed using proteomic data and genome-scale models

Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models

Reconstructing organisms in silico: genome-scale models and their emerging applications

iML1515, a knowledgebase that computes Escherichia coli traits

Predicting stress response and improved protein overproduction in Bacillus subtilis

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