129825 20241125101147.0 doi 10.3390/e25111537 sideral 136130 ART-2023-136130 eng Traversa, Pietro Robustness and complexity of directed and weighted metabolic hypergraphs 2023 Access copy available to the general public Unrestricted Metabolic networks are probably among the most challenging and important biological networks. Their study provides insight into how biological pathways work and how robust a specific organism is against an environment or therapy. Here, we propose a directed hypergraph with edge-dependent vertex weight as a novel framework to represent metabolic networks. This hypergraph-based representation captures higher-order interactions among metabolites and reactions, as well as the directionalities of reactions and stoichiometric weights, preserving all essential information. Within this framework, we propose the communicability and the search information as metrics to quantify the robustness and complexity of directed hypergraphs. We explore the implications of network directionality on these measures and illustrate a practical example by applying them to a small-scale E. coli core model. Additionally, we compare the robustness and the complexity of 30 different models of metabolism, connecting structural and biological properties. Our findings show that antibiotic resistance is associated with high structural robustness, while the complexity can distinguish between eukaryotic and prokaryotic organisms. info:eu-repo/grantAgreement/ES/DGA-FEDER/E36-20R info:eu-repo/grantAgreement/ES/DGA/FONDO-C19-UZ-164255 info:eu-repo/grantAgreement/EC/H2020/101017453/EU/Knowledge At the Tip of Your fingers: Clinical Knowledge for Humanity/KATY This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101017453-KATY info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.1 2023 PHYSICS, MULTIDISCIPLINARY 44 / 112 = 0.393 2023 Q2 T2 0.541 2023 Electrical and Electronic Engineering 2023 Q2 Physics and Astronomy (miscellaneous) 2023 Q2 Mathematical Physics 2023 Q2 Information Systems 2023 Q2 4.9 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Ferraz de Arruda, Guilherme Vazquez, Alexei Moreno, Yamir Universidad de Zaragoza (orcid)0000-0002-0895-1893 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 25, 11 (2023), 1537 [16 pp.] Entropy ENTROPY 1099-4300 1552817 http://zaguan.unizar.es/record/129825/files/texto_completo.pdf Versión publicada 2736392 http://zaguan.unizar.es/record/129825/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:129825 articulos driver 2024-11-22-12:04:57 ARTICLE