Expanding computational biochemistry towards complex and non-natural compounds
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In an effort of overcoming the limited availability of fossil energy resources and moving toward a sustainable economy, the focus of the research and development in the area of biofuels has shifted towards developing the 2nd generation of fuels that should ...
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We present a fully analytical, heuristic model the "Analytical Transport Network Model" for steady-state, diffusive, potential flow through a 3-D network. Employing a combination of graph theory, linear algebra, and geometry, the model explicitly relates a ...
The availability of different levels of omics data helps us to observe cells with higher resolution and from different perspectives. Consequently, the computational exploration of metabolism gained more importance in the last decade to make sense of newly ...
A key challenge in metabolic engineering is to design novel or to improve existing biosynthetic pathways that lead to the cellular production of a given industrial or pharmaceutical compound. In many cases, the required enzymatic reactions for the biosynth ...
A key challenge in metabolic engineering is to find and to improve biosynthetic pathways that lead to the cellular production of a given industrial, pharmaceutical or specialty chemical compound. In many cases, the enzymatic reactions required for bio-prod ...