Computational Framework for Predictive Biodegradation
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Computational studies of metabolism aim to systematically analyze the metabolic behaviour of biological systems in different conditions. Genome-scale metabolic network models (GEMs) capture the connection between elements of the network by applying stoichi ...
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 ...
New drugs are needed to assure effective therapies for previously untreated diseases, emerging diseases, and personalized medicine, but the process of drug development is complex, costly, and time-consuming. This is especially problematic considering that ...
Lipids play a very important role in cell structure and function, as well as in the physiopathology of many diseases. Maintenance of the lipid profiles should be tightly regulated as it is very important for preserving membrane permeability, cell integrity ...
2017
Living organisms can catalyze many thousands of biochemical reactions that they use to convert energy and matter, which provides them with the essentials for life. The sum of these chemical reactions happening in an organism is called metabo-lism. Understa ...
EPFL2020
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The availability of different levels of omics data helps us to observe cells with higher resolution and from different perspectives. However, complete understanding of metabolism lags behind in explaining the chemodiversity observed in living organisms – t ...
2017
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Advances in medicine and biotechnology rely on the further understanding of biological processes. Despite the technological advances and increasing available types and amounts of omics data, significant biochemical knowledge gaps remain uncharacterised. We ...
