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We reconstruct a network model that highlights critical interactions and identifies candidate therapeutic targets for eliminating TPCs.
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To interpret the results obtained from sequence analysis and to obtain new insights into the biochemical capabilities of this strain, we reconstructed a metabolic network model of the carbon metabolism of ICGEB2008 by integrating genomic and biochemical data, resulting in a stoichiometric model connecting 133 metabolites by 158 reactions.
To model relationships and strengths among the nine phenotypes (Free-Living, PAH-degrading, Fast-growing, Non-pathogenic, Facultatively-host-associated, PAH-non-degrading, Pathogenic, Slow-growing, and Obligately intracellular), we reconstructed a network, Mycobacterial Phenotype Network (MPN).
The reconstructed metabolic network model is a "master model" comprising the major catabolic pathways of Rs. rubrum, Rba.
This paper proposes a new method via genetic algorithm (GA) to reconstruct the pore network model with irregular distribution and topologically equivalent based on the real porous medium.
However, limited by equipment and technological conditions, China has not achieved much fruits in the field of reconstructing 3D pore network model.
LPP is estimated from cylinder pressure curve reconstructed using neural network model and is used as feedback signal to fuzzy logic controller.
The technology of reconstructing 3D pore network model is rarely applied in microscopic evaluation of reservoir, and there are few reports about its application in evaluating variation of microheterogeneity of reservoir under long-term water flooding (Xu et al. 2010).
Similarly, in this work, we aim to elucidate the rice photorespiration under ambient and drought conditions by identifying essential genes using our recently reconstructed rice metabolic/regulatory network model which was validated with cell culture experiments (Lakshmanan et al. 2013).
Network inference was performed using NetGenerator to reconstruct a dynamical regulatory model based on the measured data and prior knowledge.
The outputs derived by these methods can be computationally integrated in order to reconstruct network models of the relations between genes [ 13, 14].
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