Idioma:

Phenotype switching in a global method for agent-based models of biological tissue

Bergman, Daniel ; Jackson, Trachette L Abel, Steven M.

PloS one, 2023-02, Vol.18 (2), p.e0281672-e0281672 [Revista revisada por pares]

United States: Public Library of Science

Texto completo disponible

Citas Citado por

Acciones

Título:
Phenotype switching in a global method for agent-based models of biological tissue
Autor: Bergman, Daniel ; Jackson, Trachette L
Abel, Steven M.
Materias: Agent based models ; Algorithms ; Analysis ; Apoptosis ; Biology and Life Sciences ; Computational efficiency ; Computer and Information Sciences ; Computer applications ; Computer Simulation ; Computing costs ; Computing time ; Dynamics ; Genetic aspects ; Heterogeneity ; Hypoxia ; Medicine and Health Sciences ; Methods ; Microenvironments ; Modelling ; Models, Biological ; Molecular dynamics ; Molecular modelling ; Ordinary differential equations ; Parameter estimation ; Phenotype ; Phenotypes ; Physical Sciences ; Population biology ; Population Dynamics ; Research and Analysis Methods ; Simulation ; Spatial heterogeneity ; Tissues
Es parte de: PloS one, 2023-02, Vol.18 (2), p.e0281672-e0281672
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Competing Interests: The authors have declared that no competing interests exist.
Descripción: Agent-based models (ABMs) are an increasingly important tool for understanding the complexities presented by phenotypic and spatial heterogeneity in biological tissue. The resolution a modeler can achieve in these regards is unrivaled by other approaches. However, this comes at a steep computational cost limiting either the scale of such models or the ability to explore, parameterize, analyze, and apply them. When the models involve molecular-level dynamics, especially cell-specific dynamics, the limitations are compounded. We have developed a global method for solving these computationally expensive dynamics significantly decreases the computational time without altering the behavior of the system. Here, we extend this method to the case where cells can switch phenotypes in response to signals in the microenvironment. We find that the global method in this context preserves the temporal population dynamics and the spatial arrangements of the cells while requiring markedly less simulation time. We thus add a tool for efficiently simulating ABMs that captures key facets of the molecular and cellular dynamics in heterogeneous tissue.
Editor: United States: Public Library of Science
Idioma: Inglés

Enlaces

View this record in MEDLINE/PubMed

Volver a la lista de resultados

Anterior Resultado 4 Siguiente Ir a la siguiente página

Realización: Logos de Redes Sociales:

Phenotype switching in a global method for agent-based models of biological tissue

Bergman, Daniel ; Jackson, Trachette L Abel, Steven M.

United States: Public Library of Science

Buscando en bases de datos remotas, por favor espere