Using quantitative systems pharmacology modeling to optimize combination therapy of anti-PD-L1 checkpoint inhibitor and T cell engager

Name: Using quantitative systems pharmacology modeling to optimize combination therapy of anti-PD-L1 checkpoint inhibitor and T cell engager
Creator: Samira Anbari
Published: 2023-06-13T15:28:06.216Z
Keywords: Mathematical Modeling, Pharmacodynamics, Pharmacokinetics, Cancer Immunotherapy

Anbari, Samira; Wang, Hanwen; Zhang, Yu; Wang, Jun; Pilvankar, Minu; Nickaeen, Masoud; Hansel, Steven; Popel, Aleksander S.

doi:10.17632/crk9tmnmb7.1

Using quantitative systems pharmacology modeling to optimize combination therapy of anti-PD-L1 checkpoint inhibitor and T cell engager

Published: 13 June 2023| Version 1 | DOI: 10.17632/crk9tmnmb7.1

Contributors:

Samira Anbari, Hanwen Wang, Yu Zhang, Jun Wang, Minu Pilvankar, Masoud Nickaeen, Steven Hansel, Aleksander S. Popel

Description

This repository contains the QSP platform for combination therapy of anti-PD-L1 checkpoint inhibitor and T cell engager developed by the Popel Systems Biology Laboratory. https://popellab.johnshopkins.edu/.

Using quantitative systems pharmacology modeling to optimize combination therapy of anti-PD-L1 checkpoint inhibitor and T cell engager

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