Systems pharmacology: defining the interactions of drug combinations

JGC Van Hasselt, R Iyengar - Annual review of pharmacology …, 2019 - annualreviews.org
The majority of diseases are associated with alterations in multiple molecular pathways and
complex interactions at the cellular and organ levels. Single-target monotherapies therefore …

Sobol sensitivity analysis: a tool to guide the development and evaluation of systems pharmacology models

XY Zhang, MN Trame, LJ Lesko… - CPT: pharmacometrics & …, 2015 - Wiley Online Library
A systems pharmacology model typically integrates pharmacokinetic, biochemical network,
and systems biology concepts into a unifying approach. It typically consists of a large …

Optimizing oncology therapeutics through quantitative translational and clinical pharmacology: challenges and opportunities

K Venkatakrishnan, LE Friberg… - Clinical …, 2015 - Wiley Online Library
Despite advances in biomedical research that have deepened our understanding of cancer
hallmarks, resulting in the discovery and development of targeted therapies, the success …

Applications of quantitative systems pharmacology in model‐informed drug discovery: perspective on impact and opportunities

EL Bradshaw, ME Spilker, R Zang… - CPT …, 2019 - Wiley Online Library
Quantitative systems pharmacology (QSP) approaches have been increasingly applied in
the pharmaceutical since the landmark white paper published in 2011 by a National …

How to mathematically optimize drug regimens using optimal control

H Moore - Journal of pharmacokinetics and pharmacodynamics, 2018 - Springer
This article gives an overview of a technique called optimal control, which is used to
optimize real-world quantities represented by mathematical models. I include background …

Translational quantitative systems pharmacology in drug development: from current landscape to good practices

JPF Bai, JC Earp, VC Pillai - The AAPS journal, 2019 - Springer
Abstract Systems pharmacology approaches have the capability of quantitatively linking the
key biological molecules relevant to a drug candidate's mechanism of action (drug-induced …

QSP toolbox: computational implementation of integrated workflow components for deploying multi-scale mechanistic models

Y Cheng, CJ Thalhauser, S Smithline, J Pagidala… - The AAPS journal, 2017 - Springer
Quantitative systems pharmacology (QSP) modeling has become increasingly important in
pharmaceutical research and development, and is a powerful tool to gain mechanistic …

Multiscale Design of Cell‐Type–Specific Pharmacokinetic/Pharmacodynamic Models for Personalized Medicine: Application to Temozolomide in Brain Tumors

A Ballesta, Q Zhou, X Zhang, H Lv… - CPT: pharmacometrics …, 2014 - Wiley Online Library
Optimizing anticancer therapeutics needs to account for variable drug responses in
heterogeneous cell populations within the tumor as well as in organs of toxicity. To address …

Computer simulation of TSP1 inhibition of VEGF–akt–eNOS: an angiogenesis triple threat

H Bazzazi, Y Zhang, M Jafarnejad, JS Isenberg… - Frontiers in …, 2018 - frontiersin.org
The matricellular protein thrombospondin-1 (TSP1) is a potent inhibitor of angiogenesis.
Specifically, TSP1 has been experimentally shown to inhibit signaling downstream of …

CNS anticancer drug discovery and development conference white paper

VA Levin, PJ Tonge, JM Gallo, MR Birtwistle… - Neuro …, 2015 - academic.oup.com
Following the first CNS Anticancer Drug Discovery and Development Conference, the
speakers from the first 4 sessions and organizers of the conference created this White Paper …