A spatio-temporal mathematical model for the dynamics of paclitaxel in cell monolayers.
Proudfoot, I.; Epemolu, O.; Vallardi, G.; Ptashnyk, M.; Saurin, A. T.; Murray, P. J.; Shishikura, Y.
Show abstract
The authors have withdrawn their manuscript due to the discovery of fundamental issues with the implementation of the ODE/PDE model, whose output was shown in Figure 5 of the original version of this paper, rendering the results and conclusion unreliable. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Dose-dependent thresholds of dexamethasone destabilize CAR T-cell treatment efficacy 96%
- Chemotherapy-Induced Cachexia and Model-Informed Dosing to Preserve Lean Mass in Cancer Treatment 95%
- Combining Hypoxia-Activated Prodrugs and Radiotherapy in silico: Impact of Treatment Scheduling and the Intra-Tumoural Oxygen Landscape 95%
Similar papers in this journal
- An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines 96%
- A 3D brain unit model to further improve prediction of local drug distribution within the brain 96%
- Spatial redistribution of neurosecretory vesicles upon stimulation accelerates their directed transport to the plasma membrane 94%
Similar papers in this journal
- Modelling count data with partial differential equation models in biology 96%
- A novel 3D atomistic-continuum cancer invasion model: In silico simulations of an in vitro organotypic invasion assay 95%
- Simulations probe the role of space in the interplay between drug-sensitive and drug-resistant cancer cells 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.