Eduardo Luís Menezes de Almeida

The paper develops a toolbox to model promiscuous enzyme activities in metabolic models, showing that underground metabolism enhances metabolic flexibility and robustness.

This paper presents lista-GEM, the first genome-scale metabolic model of Lipomyces starkeyi, identifies metabolic engineering targets to improve lipid production from various carbon sources.

This study predicts protein abundance using machine learning based on codon usage bias, achieving high accuracy and validating predictions in metabolic models.