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In this paper, we upgraded P. pastoris genome-scale metabolic model based on the combination of latest genome annotations and literatures.
The genome-scale metabolic model based on this reconstruction, iCHO1766, and cell-line-specific models for CHO-K1, CHO-S, and CHO-DG44 cells provide the biochemical basis of growth and recombinant protein production.
A metabolic model based on these reactions was comprehensively validated with experimental data [ 10].
A total of 1578 proteins were linked to reactions in the metabolic model based on the BiGG database annotations (Supplementary Table 1).
The lack of literature evidence supporting the reconciled changes to the metabolic model based on our analysis highlights the gaps in our knowledge.
In this study we employ the principles described above to build individual cell models from the human metabolic model based on a single sample gene expression signature of each cell.
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To reduce the computational cost of FBA-based screening, we constructed simplified metabolic models based on our previous study (Ohno et al., 2013), which provides identical flux estimations and screening results to the original model.
This review presents the perspective that in silico metabolic modelling based on genome-scale metabolic networks can be used for understanding the metabolisms of the anodic microorganisms and optimizes the performance of their metabolic networks for MFCs.
This work has important implications for the fields of probiogenomics and metagenomics, and functional studies of reference genomes and the mammalian microbiome will require deeper insights into metabolic models based on patterns of gene expression.
The SuBliMinaL Toolbox [ 33] provides a very interesting alternative for metabolic modeling, based on KEGG data.
We propose a general methodology for spatiotemporal metabolic modeling based on combining genome-scale reconstructions with fundamental transport equations that capture the relevant convection and/or diffusional processes.
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metabolic model conducted
metabolic yield based
metabolic network based
metabolic capacity based
metabolic abnormality based
metabolic activity based
metabolic route based
metabolic engineering based
metabolic state based
metabolic syndrome based
metabolic pathway based
metabolic simplification based
metabolic response based
metabolic flux based
metabolic shift based
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