A transcriptome-informed QSP model of metastatic triple-negative breast cancer identifies predictive biomarkers for PD-1 inhibition by Theinmozhi Arulraj et al

Published: 20 June 2023| Version 1 | DOI: 10.17632/r46rk4vwdv.1
Contributors:
Theinmozhi Arulraj, Hanwen Wang, Leisha A. Emens, Cesar A. Santa-Maria, Aleksander S. Popel

Description

This repository contains the QSP platform for metastatic TNBC developed by the Popel Systems Biology Laboratory. https://popellab.johnshopkins.edu/. This QSP model is an extension of the QSPIO-TNBC model (https://github.com/HanwenWang95/QSPIO-TNBC) with metastatic tumors.

Files

Steps to reproduce

Refer to the readme file

Institutions

Johns Hopkins University

Categories

Pharmacology, Mathematical Modeling, Cancer Immunotherapy

Funding

National Institutes of Health

R01CA138264 and U01CA212007

Licence