Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation
Computational models are not just appealing because they can simulate and predict the
development of biological phenomena across multiple spatial and temporal scales, but also …
development of biological phenomena across multiple spatial and temporal scales, but also …
[HTML][HTML] A biochemical necroptosis model explains cell-type-specific responses to cell death cues
GV Ildefonso, MO Metzig, A Hoffmann, LA Harris… - Biophysical …, 2023 - cell.com
Necroptosis is a form of regulated cell death associated with degenerative disorders,
autoimmune and inflammatory diseases, and cancer. To better understand the biochemical …
autoimmune and inflammatory diseases, and cancer. To better understand the biochemical …
[HTML][HTML] Concepts of multi-level dynamical modelling: understanding mechanisms of squamous cell carcinoma development in Fanconi anemia
E Velleuer, E Domínguez-Hüttinger, A Rodríguez… - Frontiers in …, 2023 - frontiersin.org
Fanconi anemia (FA) is a rare disease (incidence of 1: 300,000) primarily based on the
inheritance of pathogenic variants in genes of the FA/BRCA (breast cancer) pathway. These …
inheritance of pathogenic variants in genes of the FA/BRCA (breast cancer) pathway. These …
Cell-state transitions and density-dependent interactions together explain the dynamics of spontaneous epithelial-mesenchymal heterogeneity
Cancer cell populations comprise phenotypes distributed among the Epithelial-
Mesenchymal (EM) spectrum. However, it remains unclear which population-level …
Mesenchymal (EM) spectrum. However, it remains unclear which population-level …
Recipes for calibration and validation of agent-based models in cancer biomedicine
Computational models and simulations are not just appealing because of their intrinsic
characteristics across spatiotemporal scales, scalability, and predictive power, but also …
characteristics across spatiotemporal scales, scalability, and predictive power, but also …
Increasing certainty in systems biology models using Bayesian multimodel inference
N Linden-Santangeli, J Zhang, B Kramer… - bioRxiv, 2024 - biorxiv.org
Mathematical models are indispensable to the system biology toolkit for studying the
structure and behavior of intracellular signaling networks. A common approach to modeling …
structure and behavior of intracellular signaling networks. A common approach to modeling …
Cell-state transitions and frequency-dependent interactions among subpopulations together explain the dynamics of spontaneous epithelial-mesenchymal …
Individual cells in a tumour can be distributed among Epithelial (E) and Mesenchymal (M)
cell-states, as characterised by the levels of canonical E and M markers. Even after E and M …
cell-states, as characterised by the levels of canonical E and M markers. Even after E and M …