Systems Biology at the giga-scale: large multi-scale models of complex, heterogeneous multicellular systems
Visualitza/Obre
10.1016/j.coisb.2021.100385
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/352433
Tipus de documentArticle
Data publicació2021
EditorElsevier
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement 3.0 Espanya
ProjecteINFORE - Interactive Extreme-Scale Analytics and Forecasting (EC-H2020-825070)
PerMedCoE - HPC%2FExascale Centre of Excellence in Personalised Medicine (EC-H2020-951773)
PerMedCoE - HPC%2FExascale Centre of Excellence in Personalised Medicine (EC-H2020-951773)
Abstract
Agent-based modelling has proven its usefulness in several biomedical projects by explaining and uncovering mechanisms in diseases. Nevertheless, the scenarios addressed in these models usually consider a small number of cells, lack cell-specific characterisation and dynamic interactions and have a simplistic environment description. Tools that enable scalable, real-sized simulations of biological systems that require complex set-ups are needed to have simulations closer to biomedical scenarios that can capture cell-to-cell heterogeneity and system-wide emerging properties. To deliver simulations at the giga-scale (109 cells), different tools have implemented technologies to run in high-performance computing clusters. We hereby review these efforts and detail the main areas of improvement the field needs to focus on to have simulations that are a step closer to having digital twins
CitacióMontagud, A.; Ponce De Leon, M.; Valencia, A. Systems Biology at the giga-scale: large multi-scale models of complex, heterogeneous multicellular systems. "Current Opinion in Systems Biology", 2021, 100385.
ISSN2452-3100
Versió de l'editorhttps://www.sciencedirect.com/science/article/pii/S2452310021000792
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