Research Topic: metabolic modeling

Biodegradation of synthetic organic pollutants: principles, progress, problems, and perspectives

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This comprehensive review explains how bacteria naturally break down synthetic pollutants in our environment through various mechanisms. Scientists use advanced tools like gene sequencing and computer analysis to identify which bacteria degrade specific pollutants, how quickly they work, and what intermediate products form. Understanding these bacterial degradation pathways helps us develop better strategies to clean up contaminated water and soil in an environmentally friendly way.

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Unveiling new features of the human pathogen Cryptococcus neoformans through the reconstruction and exploitation of a dedicated genome-scale metabolic model

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Scientists have created a detailed computer model of how the dangerous fungus Cryptococcus neoformans works at the metabolic level. By studying 890 genes and thousands of chemical reactions in this pathogen, they identified new weak points that could be targeted with future antifungal drugs. The model reveals why this fungus is particularly good at causing brain infections and shows several unique metabolic features not found in other pathogenic yeasts, offering hope for more effective treatments.

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