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Tools: PhysiCell
Biomedicine, supercomputers and simulations: in silico experiments and its applications in cancer research
Computational simulations of cellular processes (e.g. metabolism, gene expression, signal transduction) are critical tools to formulate mechanistic explanations that facilitate the interpretation of experimental results. However, complex biological processes such as tumour evolution span across...
Biomedicine, supercomputers and simulations: in silico experiments and its applications in cancer research
https://www.youtube.com/watch?v=x1zCn0-oeQQ
http://tess.elixir-uk.org/materials/biomedicine-supercomputers-and-simulations-in-silico-experiments-and-its-applications-in-cancer-research
Computational simulations of cellular processes (e.g. metabolism, gene expression, signal transduction) are critical tools to formulate mechanistic explanations that facilitate the interpretation of experimental results. However, complex biological processes such as tumour evolution span across different time-space scales. For instance, a population-level description is needed to account for genetic heterogeneity and phenotypic variability due to environmental noise, whereas intracellular models, such as cell signalling networks need to address the effect of mutated genes. In this context, multi-scale models are ideal tools to address systems biology questions as they can consider several time-space scales by combining different approaches into a hybrid simulation.
PhysiCell is an open-source, agent-based extensible multi-scale modelling framework that allows simulating complex multicellular systems such as healthy tissues and tumours.
Miguel Ponce de León
Molecular interactions, pathways and networks
Personalised medicine
Simulation experiment
HPC, Biomodelling, cell simulations
Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities