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Copland, Ravel, Franck - ORQUESTRA ACADÉMICA METROPOLITANA

Leitão, Rui Campos; Burfin, Jean-Marc; Moreira, João; Dias, Sara; Vieira, Vítor

Brochura de sala do concerto realizado pela Orquestra Académica Metropolitana a 27 de Janeiro de 2022 no FÓRUM MUNICIPAL LUÍSA TODI em Setúbal no âmbito da Temporada 2021/2022 da Metropolitana. O programa do concerto foi incluído nas comemorações dos 30 anos da Metropolitana, tendo como solistas ex-alunos da ANSO - Vitor Vieira (Violino), Sara Dias, (Corne inglês) e João Moreira (Trompete). O programa do concer...


Copland, Ravel, Franck - ORQUESTRA ACADÉMICA METROPOLITANA

Leitão, Rui Campos; Burfin, Jean-Marc; Dias, Sara; Moreira, João; Vieira, Vítor

Brochura de sala do concerto realizado pela Orquestra Académica Metropolitana a 28 de Janeiro de 2022 no AUDITÓRIO DA REITORIA DA UNIVERSIDADE NOVA DE LISBOA em Lisboa no âmbito da Temporada 2021/2022 da Metropolitana. O concerto foi incluído nas comemorações dos 30 anos da Metropolitana, tendo como solistas ex-alunos da ANSO - Vitor Vieira (Violino), Sara Dias (Corne inglês) e João Moreira (Trompete). O progra...


Reconstruction of tissue-specific genome-scale metabolic models for human cance...

Barata, Tânia; Vieira, Vítor; Rodrigues, Rúben André Costa; Neves, Ricardo Pires das; Rocha, Miguel

Cancer Stem Cells (CSCs) contribute to cancer aggressiveness, metastasis, chemo/radio-therapy resistance, and tumor recurrence. Recent studies emphasized the importance of metabolic reprogramming of CSCs for the maintenance and progression of the cancer phenotype through both the fulfillment of the energetic requirements and the supply of substrates fundamental for fast-cell growth, as well as through metabolit...


Causal integration of multi-omics data with prior knowledge to generate mechani...

Dugourd, Aurelien; Kuppe, Christoph; Sciacovelli, Marco; Gjerga, Enio; Gabor, Attila; Emdal, Kristina B.; Vieira, Vítor; Bekker-Jensen, Dorte B.

Multi-omics datasets can provide molecular insights beyond the sum of individual omics. Various tools have been recently developed to integrate such datasets, but there are limited strategies to systematically extract mechanistic hypotheses from them. Here, we present COSMOS (Causal Oriented Search of Multi-Omics Space), a method that integrates phosphoproteomics, transcriptomics, and metabolomics datasets. COS...


Superconductivity in the SU(N) Anderson lattice at U = infinity

Araújo, Miguel; Peres, Nuno; Sacramento, Pedro; Vieira, Vítor

We present a mean-field study of superconductivity in a generalized N-channel cubic Anderson lattice at U=infinity taking into account the effect of a nearest-neighbor attraction J. The condition U=infinity; is implemented within the slave-boson formalism considering the slave bosons to be condensed. We consider the f-level occupancy ranging from the mixed valence regime to the Kondo limit and study the depende...


Troppo - A Python framework for the reconstruction of context-specific metaboli...

Ferreira, Jorge M. L.; Vieira, Vítor; Gomes, Jorge; Correia, Sara; Rocha, Miguel

The surge in high-throughput technology availability for molecular biology has enabled the development of powerful predictive tools for use in many applications, including (but not limited to) the diagnosis and treatment of human diseases such as cancer. Genome-scale metabolic models have shown some promise in clearing a path towards precise and personalized medicine, although some challenges still persist. The...


A model integration pipeline for the improvement of human genome-scale metaboli...

Vieira, Vítor; Ferreira, Jorge; Rodrigues, Rúben André Costa; Liu, Filipe Alexandre Wang; Rocha, Miguel

Metabolism has been a major field of study in the last years, mainly due to its importance in understanding cell physiology and certain disease phenotypes due to its deregulation. Genome-scale metabolic models (GSMMs) have been established as important tools to help achieve a better understanding of human metabolism. Towards this aim, advances in systems biology and bioinformatics have allowed the reconstructio...


Comparison of pathway analysis and constraint-based methods for cell factory de...

Vieira, Vítor; Maia, Paulo; Rocha, Miguel; Rocha, I.

Computational strain optimisation methods (CSOMs) have been successfully used to exploit genome-scale metabolic models, yielding strategies useful for allowing compound overproduction in metabolic cell factories. Minimal cut sets are particularly interesting since their definition allows searching for intervention strategies that impose strong growth-coupling phenotypes, and are not subject to optimality bias w...


Metabolite integration pipeline for the improvement of human metabolic models

Vieira, Vítor; Ferreira, Jorge; Rodrigues, Rúben André Costa; Rocha, Miguel

Genome-scale metabolic models (GSMMs) of human cells are predictive tools with great potential for revealing important aspects of cell physiology, disease as well as for the diagnosis and treatment of diseases caused by the deregulation of metabolism. In the past decade, there have been notable efforts to reconstruct models of human metabolism, with five generic GSMMs currently available. Maintaining references...


HABIT - a webserver for interactive T cell neoepitope discovery

Martins, Joana; Magalhães, Carlos; Vieira, Vítor; Rocha, Miguel; Osório, Nuno S.

bioRxiv - the Preprint Server for Biology.; Neoepitopes generated by amino acid variants specifically found in pathogens or cancer cells are gaining momentum in immunotherapy development. HABIT (HLA Binding InTelligence) is a web platform designed to generate and analyse machine learning-based T cell epitope predictions for improved neoepitope discovery. Availability and Implementation: HABIT is available at ht...


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