Journal of integrative bioinformatics 
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This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.MetaLo: metabolic analysis of Logical models extracted from molecular interaction maps
We present MetaLo, an open-source Python package that enables the coupling of Boolean models inferred from process description MIMs with generic core metabolic networks. MetaLo provides a framework to study the impact of signaling cascades, gene regulation processes, and metabolic flux distribution of central energy production pathways. MetaLo computes the Boolean model's asynchronous asymptotic behavior, through the identification of trap-spaces, and extracts metabolic constraints to contextualize the generic metabolic network. MetaLo is able to handle large-scale Boolean models and genome-scale metabolic models without r...
Source: Journal of integrative bioinformatics - February 5, 2024 Category: Bioinformatics Authors: Sahar Aghakhani Anna Niarakis Sylvain Soliman Source Type: research
