Text S1: Dynamical Systems Model for Combinatorial Cancer Therapy with MEK-Inhibition

Text S1 is a supplementary document for a research paper by Neda Bagheri of the Massachusetts Institute of Technology. It contains data and code related to a dynamical systems model for enhancing oncolytic adenovirus therapy via MEK-inhibition. The document includes parameter estimation results, model fitness assessments, interpolation methods, and MATLAB code for an ordinary differential equation model.

Use Cases

• Calibrating dynamical systems models based on the provided parameter estimation data.
• Simulating cancer therapy outcomes using the described ordinary differential equation model and MATLAB syntax.
• Assessing model fitness for combinatorial treatments involving oncolytic viruses and MEK-inhibitors.
• Applying interpolation methods to experimental data as outlined in the document.

Strengths

• Includes MATLAB code for implementing the described ordinary differential equation model.
• Provides a MIFlowCyt outline, suggesting adherence to a reporting standard for flow cytometry experiments.
• Document is associated with a research paper from the Massachusetts Institute of Technology.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Neda Bagheri, Massachusetts Institute of Technology

Collection Method

Likely generated from computational modeling and analysis for a research publication.