Omic data analysis is steadily growing as a driver of basic and applied molecular biology
research. Core to the interpretation of complex and heterogeneous biological phenotypes …

In industrial bioprocesses, microbial metabolism dictates the product yields, and therefore,
our capacity to control it has an enormous potential to help us move towards a bio-based …

With omics data being generated at an unprecedented rate, genome-scale modelling has
become pivotal in its organisation and analysis. However, machine learning methods have …

The availability of multi-omics data sets and genome-scale metabolic models for various
organisms provide a platform for modeling and analyzing genotype-to-phenotype …

Genome-scale metabolic models (GEMs) are effective tools for metabolic engineering and
have been widely used to guide cell metabolic regulation. However, the single gene–protein …

To understand the phenotypic capabilities of organisms, it is useful to characterise cellular
metabolism through the analysis of its pathways. Dynamic mathematical modelling of …

The urgent necessity to fight antimicrobial resistance is universally recognized. In the search
of new targets and strategies to face this global challenge, a promising approach resides in …

The genome-scale metabolic model (GEM) has emerged as one of the leading modeling
approaches for systems-level metabolic studies and has been widely explored for a broad …

As plants produce an enormous diversity of metabolites to help them adapt to the
environment, the study of plant metabolism is of utmost importance to understand different …

Motivation Metabolic flux balance analysis (FBA) is a standard tool in analyzing metabolic
reaction rates compatible with measurements, steady-state and the metabolic reaction …