Personne

Maria Masid Barcon

Publications associées (12)

Symbolic kinetic models in python (SKiMpy): intuitive modeling of large-scale biological kinetic models

Vassily Hatzimanikatis, Georgios Fengos, Maria Masid Barcon, Daniel Robert Weilandt, Zhaleh Hosseini, Pierre Guy Rémy Salvy

Motivation: Large-scale kinetic models are an invaluable tool to understand the dynamic and adaptive responses of biological systems. The development and application of these models have been limited by the availability of computational tools to build and ...

OXFORD UNIV PRESS2022

Dynamic partitioning of branched-chain amino acids-derived nitrogen supports renal cancer progression

Vassily Hatzimanikatis, Maria Masid Barcon, Ming Yang

Metabolic reprogramming is critical for tumor initiation and progression. However, the exact impact of specific metabolic changes on cancer progression is poorly understood. Here, we integrate multimodal analyses of primary and metastatic clonally-related ...

NATURE PORTFOLIO2022

A genome-scale metabolic model of Saccharomyces cerevisiae that integrates expression constraints and reaction thermodynamics

Vassily Hatzimanikatis, Ljubisa Miskovic, Maria Masid Barcon, Mohammadomid Oftadeh, Pierre Guy Rémy Salvy

Eukaryotic organisms play an important role in industrial biotechnology, from the production of fuels and commodity chemicals to therapeutic proteins. To optimize these industrial systems, a mathematical approach can be used to integrate the description of ...

NATURE PORTFOLIO2021

Metabolism is the process by which cells and organisms obtain nutrients and energy to perform their functions. In the last years, many human diseases, including cancer, diabetes, and cardiac diseases, have been associated with altered metabolism. Understan ...

2021

Modeling metabolic and signaling pathways in cancer cells

Maria Masid Barcon

Cancer is a leading cause of death in the world, and the mechanisms that underlie this disease are still not completely understood. As cancer develops and progresses, cells undergo a diversity of mutations that sustain their rapid proliferation and the eva ...

EPFL2020

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Altered metabolism is associated with many human diseases. Human genome-scale metabolic models (GEMs) were reconstructed within systems biology to study the biochemistry occurring in human cells. However, the complexity of these networks hinders a consiste ...

2020

Studying cancer cells phenotypes integrating omics data in human reduced genome-scale metabolic models.

Vassily Hatzimanikatis, Maria Masid Barcon, Vikash Kumar Pandey

Cancer is a leading cause of death in the world, and the mechanisms underlying this disease are still not completely understood. In the last decades, altered tumour metabolism has been recognized as a hallmark of cancer. This has created a resurgence of in ...

2018

Systematic reduction of genome-scale models for the study of metabolic phenotypes of human cells

Vassily Hatzimanikatis, Meriç Ataman, Maria Masid Barcon

In the last years, the analysis of cellular metabolism has sparked new interest in systems biology and metabolic modelling. In particular, modelling the phenotypes of healthy and diseased cells will help to understand the main metabolic characteristics of ...

2018

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Cancer cells have been observed to undergo a metabolic reprogramming in which glycolytic fluxes are upregulated whereas oxidative phosphorylation is downregulated. This metabolic phenotype is known as theWarburg effect and it is observed even under high ox ...

2017

In this paper we consider, from the numerical point of view, a thermoelastic diffusion porous problem. This is written as a coupled system of two hyperbolic equations, for the displacement and porosity fields, and two parabolic equations, for the temperatu ...

Isci-Inst Scientific Computing & Information2017

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