8 documents found, page 1 of 1
Reconstruction and exploitation of a dedicated Genome-Scale Metabolic Model of ...
Viana, Romeu; Couceiro, Diogo; Newton, William; Coutinho, Luís; Dias, Oscar; Coelho, Carolina; Teixeira, Miguel CachoC. neoformans is notorious for causing severe pulmonary and central nervous system infections, particularly in immunocompromised patients. High mortality rates, associated with its tropism and adaptation to the brain microenvironment and its drug resistance profile, makes this pathogen a public health threat and a World Health Organization (WHO) priority.In this study, we reconstructed GSMM iRV890 for C. neofor...
Unveiling new features of the human pathogen Cryptococcus neoformans through th...
Viana, Romeu; Couceiro, Diogo; Newton, William; Coutinho, Luís; Dias, Oscar; Coelho, Carolina; Teixeira, Miguel CachoCryptococcus neoformans is notorious for causing severe pulmonary and central nervous system infections, particularly in immunocompromised patients. High mortality rates, associated with its tropism and adaptation to the brain microenvironment and its drug resistance profile, make this pathogen a public health threat and a World Health Organization (WHO) priority. This study presents the first reconstructed gen...
In the flow of molecular miniaturized fungal diagnosis
Zolotareva, Maria; Cascalheira, Francisco; Caneiras, Catia; Bárbara, Cristina; Caetano, Diogo Miguel; Teixeira, Miguel CachoThe diagnosis of fungal infections presents several challenges and limitations, stemming from the similarities in symptomatology, diversity of underlying pathogenic species, complexity of fungal biology, and scarcity of rapid, affordable, and point-of-care approaches. In this review, we assess technological advances enabling the conversion of cutting-edge laboratory molecular diagnostic methods to cost-effectiv...
Metabolic reconstruction of the human pathogen Candida auris: using a cross-spe...
Viana, Romeu; Carreiro, Tiago; Couceiro, Diogo; Dias, Oscar; Rocha, I.; Teixeira, Miguel CachoCandida auris is an emerging human pathogen, associated with antifungal drug resistance and hospital candidiasis outbreaks. In this work, we present iRV973, the first reconstructed Genome-scale metabolic model (GSMM) for C. auris. The model was manually curated and experimentally validated, being able to accurately predict the specific growth rate of C. auris and the utilization of several sole carbon and nitro...
A genome-scale metabolic model for the human pathogen Candida Parapsilosis and ...
Viana, Romeu; Couceiro, Diogo; Carreiro, Tiago; Dias, Oscar; Rocha, Isabel; Teixeira, Miguel CachoCandida parapsilosis is an emerging human pathogen whose incidence is rising worldwide, while an increasing number of clinical isolates display resistance to first-line antifungals, demanding alternative therapeutics. Genome-Scale Metabolic Models (GSMMs) have emerged as a powerful in silico tool for understanding pathogenesis due to their systems view of metabolism, but also to their drug target predictive cap...
Insights into the antimicrobial activities and metabolomes of Aquimarina (Flavo...
Silva, Sandra Godinho; Paula, Patrícia; Da Silva, José Paulo; Mil-Homens, Dalila; Teixeira, Miguel Cacho; Fialho, Arsénio Mendes; Costa, RodrigoTwo novel natural products, the polyketide cuniculene and the peptide antibiotic aquimarin, were recently discovered from the marine bacterial genus Aquimarina. However, the diversity of the secondary metabolite biosynthetic gene clusters (SM-BGCs) in Aquimarina genomes indicates a far greater biosynthetic potential. In this study, nine representative Aquimarina strains were tested for antimicrobial activity ag...
Genome-scale metabolic model of the human pathogen Candida albicans: a promisin...
Viana, Romeu; Dias, Oscar; Lagoa, Davide Rafael Santos; Galocha, Mónica; Rocha, Isabel; Teixeira, Miguel CachoCandida albicans is one of the most impactful fungal pathogens and the most common cause of invasive candidiasis, which is associated with very high mortality rates. With the rise in the frequency of multidrug-resistant clinical isolates, the identification of new drug targets and new drugs is crucial in overcoming the increase in therapeutic failure. In this study, the first validated genome-scale metabolic mo...
Genome-scale metabolic model of the human pathogen C. albicans: aiming the iden...
Viana, Romeu; Dias, Oscar; Bastos, José; Lagoa, Davide Rafael Santos; Galocha, Mónica; Rocha, I.; Teixeira, Miguel CachoCandida albicans is the most common cause of invasive candidiasis, partly due to its ability to acquire drug resistance. With the rise in frequency of multidrug resistant clinical isolates, therapeutic options are running low. The identification of new drug targets and new drugs is crucial to overcome the increase in therapeutic failure. Currently, genome-scale metabolic models can be considered established too...