Sentence examples for metabolic network through from inspiring English sources

The analysis of the metabolic network through modelling approaches, such as flux balance analysis, plays an important role in filling the gap between genotypes and phenotypes of microorganisms to provide a full picture of the biological system.

We define the specific location of each gene within the metabolic network through node and edge annotations extracted from the KEGG database (Kanehisa and Goto, 2000).

This method enables the identification of so-called reporter metabolites and metabolic subnetworks, based on their interconnectedness within the metabolic network through common metabolites and on information about changes in the expression level of the genes.

The underlying idea is to design a succinate over-producing metabolic network (through reaction knock-out simulations), whereas the intracellular fluxes are distributed so as to maximize the biological objective function (e.g. growth) [ 47].

(1) z i = θ − 1 (1 − p i ) The z-score zm for a metabolite m is the aggregation of z-scores of the k enzymes that are neighbors of m in the metabolic network (through metabolic reactions), and calculated as shown in Equation (2).

For this purpose, we propose to model metabolic networks through classical optimization formulations, such as the classical S-system representation, with an additional constraint to enforce stability within a prespecified neighborhood of the solution point.

Metabolomics, as an essential part of genomics studies, intends holistic understanding of metabolic networks through simultaneous analysis of a myriad of both known and unknown metabolites occurring in living organisms.

An alternative modeling approach, called constraint-based modeling (CBM), analyzing the function of genome-scale metabolic networks through relying solely on simple physical-chemical constraints[13], [14].

For this purpose, we model metabolic networks through hypergraphs where reactions are represented by hyperarcs.

The key metabolites identified from this exercise are then mapped onto the relevant metabolic networks through various databases to reveal functional relationships in disease pathways.

This type of reconstruction allows the evaluation of metabolic networks through flux balance and variability analysis, in silico gene deletion analysis, robustness analysis, and the successive application of other suitable constraints.