This work deals with the problem of reconstructing the thermal conductivity coefficient of ice-gas-hydrate rocks. It is proposed to use the results of direct mathematical simulation of heat transfer processes in a het...
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There is a growing tendency to include natural, often new, ingredients in mass consumer products. This is particularly true in the cosmetics and food industries, where these ingredients are used to continually improve...
In silico approaches for metabolites optimization have been derived from the flood of sequenced and annotated genomes. However, there exist still numerous degrees of freedom in terms of optimization algorithm approach...
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In silico approaches for metabolites optimization have been derived from the flood of sequenced and annotated genomes. However, there exist still numerous degrees of freedom in terms of optimization algorithm approaches that can be exploited in order to enhance yield of processes which are based on biological reactions. Here, we propose an evolutionary approach aiming to suggest different mutant for augmenting ethanol yield using glycerol as substrate in Escherichia coli. We found that this algorithm, even though is far from providing the global optimum, is able to uncover genes that a global optimizer would be incapable of. By over-expressing accB, eno, dapE, and accA mutants in ethanol production was augmented up to 2 fold compared to its counterpart E. coli BW25113.
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