activity
20032023
most citedDetecting rich-club ordering in complex networks

1k citations · 3.7k across the 33 of their papers we have counts for

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Showing q-bio.MNShow all

6 papers · 1 filter

q-bio.MN2017★ 5 cited

Metabolic plasticity in synthetic lethal mutants: viability at higher cost

Francesco Alessandro Massucci, Francesc Sagués, M. Ángeles Serrano

The most frequent form of pairwise synthetic lethality (SL) in metabolic networks is known as plasticity synthetic lethality (PSL). It occurs when the simultaneous inhibition of pa…

q-bio.MN2014

Mapping high-growth phenotypes in the flux space of microbial metabolism

Oriol Güell, Francesco Alessandro Massucci, Francesc Font-Clos +2

Experimental and empirical observations on cell metabolism cannot be understood as a whole without their integration into a consistent systematic framework. However, the characteri…

q-bio.MN2012

Assessing the significance of knockout cascades in metabolic networks

Oriol Güell, Francesc Sagués, Georg Basler +2

Complex networks have been shown to be robust against random structural perturbations, but vulnerable against targeted attacks. Robustness analysis usually simulates the removal of…

q-bio.MN2012

Predicting effects of structural stress in a genome-reduced model bacterial metabolism

Oriol Güell, Francesc Sagués, M. Ángeles Serrano

We studied in silico effects of structural stress in Mycoplasma pneumoniae, a genome-reduced model bacterial organism, by tracking the damage propagating on its metabolic network a…

q-bio.MN2011

Uncovering the hidden geometry behind metabolic networks

M. Angeles Serrano, Marian Boguna, Francesc Sagues

Metabolism is a fascinating cell machinery underlying life and disease and genome-scale reconstructions provide us with a captivating view of its complexity. However, deciphering t…

q-bio.MN2010★ 6 cited

Network-based confidence scoring system for genome-scale metabolic reconstructions

M. Ángeles Serrano, Francesc Sagués

Reliability on complex biological networks reconstructions remains a concern. Although observations are getting more and more precise, the data collection process is yet error pron…