000129825 001__ 129825
000129825 005__ 20241125101147.0
000129825 0247_ $$2doi$$a10.3390/e25111537
000129825 0248_ $$2sideral$$a136130
000129825 037__ $$aART-2023-136130
000129825 041__ $$aeng
000129825 100__ $$aTraversa, Pietro
000129825 245__ $$aRobustness and complexity of directed and weighted metabolic hypergraphs
000129825 260__ $$c2023
000129825 5060_ $$aAccess copy available to the general public$$fUnrestricted
000129825 5203_ $$aMetabolic 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.
000129825 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/E36-20R$$9info:eu-repo/grantAgreement/ES/DGA/FONDO-C19-UZ-164255$$9info:eu-repo/grantAgreement/EC/H2020/101017453/EU/Knowledge At the Tip of Your fingers: Clinical Knowledge for Humanity/KATY$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101017453-KATY
000129825 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000129825 590__ $$a2.1$$b2023
000129825 592__ $$a0.541$$b2023
000129825 591__ $$aPHYSICS, MULTIDISCIPLINARY$$b44 / 112 = 0.393$$c2023$$dQ2$$eT2
000129825 593__ $$aElectrical and Electronic Engineering$$c2023$$dQ2
000129825 593__ $$aPhysics and Astronomy (miscellaneous)$$c2023$$dQ2
000129825 593__ $$aMathematical Physics$$c2023$$dQ2
000129825 593__ $$aInformation Systems$$c2023$$dQ2
000129825 594__ $$a4.9$$b2023
000129825 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000129825 700__ $$aFerraz de Arruda, Guilherme
000129825 700__ $$aVazquez, Alexei
000129825 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Yamir$$uUniversidad de Zaragoza
000129825 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000129825 773__ $$g25, 11 (2023), 1537 [16 pp.]$$pEntropy$$tENTROPY$$x1099-4300
000129825 8564_ $$s1552817$$uhttps://zaguan.unizar.es/record/129825/files/texto_completo.pdf$$yVersión publicada
000129825 8564_ $$s2736392$$uhttps://zaguan.unizar.es/record/129825/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000129825 909CO $$ooai:zaguan.unizar.es:129825$$particulos$$pdriver
000129825 951__ $$a2024-11-22-12:04:57
000129825 980__ $$aARTICLE