Isabel Rocha

The paper identifies a mutation that improves PET degradation efficiency in enzyme variants through computational design and experimental validation.

GDEE is a platform for gene discovery and enzyme engineering that optimizes enzymes for biosynthetic pathways by integrating sequence analysis, structure prediction, docking, and machine learning.

This study uses a dynamic model of Escherichia coli to identify metabolic targets for increasing aromatic amino acid production through evolutionary algorithms.

This study improves intracellular flux predictions in CHO cells by incorporating maintenance energy, enhancing accuracy for TCA cycle fluxes.

This paper develops the first multi-tissue diel genome-scale metabolic model for Quercus suber, highlighting suberin biosynthesis pathways and enabling analysis of tissue interactions.

Memote, open-source Python software, runs a community-maintained, partly scored test suite (consistency, biomass, annotations, optional experimental data) on SBML-encoded genome-scale metabolic models, once or through continuous integration.