Maurício Alexander de Moura Ferreira

Nitrogen metabolic map of Escherichia coli mediated by multi-functional aminotransferases

The paper maps nitrogen metabolism in E. coli by characterizing aminotransferase enzyme activities and using them to improve nitrogen flow predictions.

Integrating promiscuous enzyme activities in protein-constrained models pinpoints the role of underground metabolism in robustness of metabolic phenotypes

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

Multi-omics data and model integration reveal the main mechanisms associated with respiro-fermentative metabolism and ethanol stress responses in Kluyveromyces marxianus

The paper uses multi-omics integration to identify mechanisms of ethanol stress response and respiro-fermentative metabolism in Kluyveromyces marxianus.

Accurate prediction of in vivo protein abundances by coupling constraint-based modeling and machine learning

CAMEL predicts protein abundances by combining constraint-based modeling and machine learning, achieving high accuracy in E. coli and moderate performance in S. cerevisiae.

lista-GEM: the genome-scale metabolic reconstruction of Lipomyces starkeyi

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.

Protein Abundance Prediction Through Machine Learning Methods

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