Miguel Godinho

TL;DR: A genome-scale constraint-based model of the metabolism of Pseudomonas putida yields valuable insights into genotype–phenotype relationships and provides a sound framework to explore this versatile bacterium and to capitalize on its vast biotechnological potential.

TL;DR: The experimentally validated model provides a solid basis for understanding its metabolic regulatory mechanisms and shows that in highly linear networks the prediction of flux distributions for different growth times allows analysis of time‐dependent changes, albeit using a static model.

TL;DR: It is suggested that some specific bacterial taxonomic groups maintain their diversity and even increase their relative numbers during transit through the gastrointestinal tract of earthworms.

TL;DR: The model i KF1028 allows a systematic study of the metabolic properties of B. cenocepacia and its key metabolic virulence factors affecting the CF community and can be used as a discovery tool to design novel drugs against diseases caused by this notorious pathogen.

TL;DR: A dynamic model of the key regulatory node formed by the Ps/Pr promoters of pWW0, where the clustering of control elements is maximal, provides a first systemic understanding of the causality and connectivity of the regulatory elements that shape this exemplary regulatory network, facilitating the use of model analysis towards genetic circuit optimization.