Tortajada M, Llaneras F, Ramo D, Pico J. Estimation of recombinant pro- tein production in Pichia pastoris based on a constraint-based model. J Process Control. 2012;22(6):1139-51.Tortajada M, Llaneras F, Ram?n D, Pic? J. Estim ation of recombinant protein production in Pichia ...
However, training a machine learning (ML) model with data from multiple modalities is a challenging task, as it increases the dimension space, while keeping constant the number of samples. In fact, as the dimension of the input space increases, the volume of data required for accurate ...
Nevertheless, using the limited defined set, one can model a fair number of assembly details. However, one of the limitations of the system as it stands, is the lack of error checks during the assembly operations. For example, in the stair example above, a CUT operation can be defined ...
In the following sections, a constraint-based model ofP. pastoriswill be described and validated against the available experimental data. Then, its ability to predict non-measured fluxes will be illustrated by estimating the biomass growth rate. The potential use of the model for the estimation of...
Drug off-target effects predicted using structural analysis in the context of a metabolic network model. PLoS Comput. Biol. 6, e1000938 (2010). Kell, D. B. Systems biology, metabolic modelling and metabolomics in drug discovery and development. Drug Discov. Today 11, 1085–1092 (2006). ...
BDD-based symbolic model checking has been successful in verification of a wide range of systems. Recently, constraint-based approaches, which use arithmetic constraints as a symbolic representation, have been used in symbolic model checking of infinite-
flux=(model.set_rxn_objective('biomass_reaction') .set_flux_bounds('biomass_reaction',max_flux=10.0) .solve() .get_fluxes('biomass_reaction')) More complex constraints can be added by using theadd_constraint()method. This method accepts an affine expression involving the variables in the mod...
The performance and quality of the reconstruction had a 70% score when assessed using a standardized genome-scale metabolic model test suite. The model was used to evaluate in silico single-gene knockouts to determine the genes controlling the nitrogen fixation process. One hundred for...
To assess the predictive scope of the model, we qualitatively compared the metabolic activity predicted by constraint-based modeling against that which was deduced from the high-throughput data obtained for R etli. Overall, our study represents a significant effort toward the reconstruction of a ...
R., Gerten, D., and Schaphoff, S.: A model-based constraint on CO2 fertilisation, Biogeosciences, 10, 339-355, doi:10.5194/bg-10-339-2013, 2013a.Holden, P. B., Edwards, N. R., Gerten, D., Schaphoff, S., 2013b. A model-based constraint on co2 fertilisation. Biogeosciences 10...