A novel 3D atomistic-continuum cancer invasion model: in silico simulations of an \textit{in vitro} organotypic invasion assay
From MaRDI portal
Publication:2029564
DOI10.1016/j.jtbi.2021.110677zbMath1465.92026OpenAlexW3141594163WikidataQ111492307 ScholiaQ111492307MaRDI QIDQ2029564
Nikolaos Sfakianakis, Linnea C. Franssen, Mark A. J. Chaplain
Publication date: 3 June 2021
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2021.110677
PDEs in connection with biology, chemistry and other natural sciences (35Q92) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) Pathology, pathophysiology (92C32)
Related Items
Multiscale Modeling of Glioma Invasion: From Receptor Binding to Flux-Limited Macroscopic PDEs, Stochastic differential equation modelling of cancer cell migration and tissue invasion, Mathematical modelling of cancer invasion: a review, The first step towards the mathematical understanding of the role of matrix metalloproteinase-8 in cancer invasion
Uses Software
Cites Work
- Mathematical modeling of cancer cell invasion of tissue: biological insight from mathematical analysis and computational simulation
- An evolutionary method for complex-process optimization
- A new polynomial-time algorithm for linear programming
- Mathematical modelling of cancer cell invasion of tissue
- A multiscale approach to the migration of cancer stem cells: mathematical modelling and simulations
- A mathematical framework for modelling the metastatic spread of cancer
- A Hybrid Multiscale Model for Cancer Invasion of the Extracellular Matrix
- Modelling cell-cell collision and adhesion with the filament based lamellipodium model
- MATHEMATICAL MODELLING OF CANCER CELL INVASION OF TISSUE: THE ROLE OF THE UROKINASE PLASMINOGEN ACTIVATION SYSTEM
- A mathematical multi-organ model for bidirectional epithelial–mesenchymal transitions in the metastatic spread of cancer
- Handbook of metaheuristics
- A trust region method based on interior point techniques for nonlinear programming.