Expertise: Metabolic and Regulatory Modelling.
Short Bio:
In an age of climate and social change, of increased susceptibility to microbial disease and the need to shift from fossil fuels to biological alternatives In silico modelling of microbial metabolism can be the key to combating and surpassing these challenges. With this in mind, I've built and validated metabolic models for pathogenic Candda spp. and am now working in the development and construction of new modelling methodologies and tools - particularly the automatic inference of regulatory models and integration onto metabolic models - using Saccharomyces cerevisiae as a case study under my PhD project scope.
Research Focus:
Metabolic and Regulatory Modelling; Systems Biology; Yeasts; Pathogenic Yeasts.
Teixeira, Miguel Cacho; Viana, Romeu; Palma, Margarida; Oliveira, Jorge; Galocha, Mónica; Mota, Marta Neves; Couceiro, Diogo; et al. “YEASTRACT+: a portal for the exploitation of global transcription regulation and metabolic model data in yeast biotechnology and pathogenesis”. Nucleic Acids Research (2022): https://doi.org/10.1093/nar/gkac1041
Romeu Viana; Diogo Couceiro; Tiago Carreiro; Oscar Dias; Isabel Rocha; Miguel Cacho Teixeira. “A Genome-Scale Metabolic Model for the Human Pathogen Candida Parapsilosis and Early Identification of Putative Novel Antifungal Drug Targets”. Genes 13 2 (2022): https://doi.org/10.3390/genes13020303