ReviewCPT: pharmacometrics & systems pharmacology2014
Implementation of quantitative and systems pharmacology in large pharma.
Review in CPT: pharmacometrics & systems pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed.
- Prediction of a clinically effective dose of THY1773, a novel VBiopharmaceutics & drug disposition · 2021Trial
- Quantum mechanics in drug design: Progress, challenges, and future frontiers.Communicative & integrative biology · 2026Review
- Impact of Model-Informed Drug Development on Drug Development Cycle Times and Clinical Trial Cost.Clinical pharmacology and therapeutics · 2025Article
- Conceptual quantitative systems pharmacology framework for supporting clinical trial design in organ-specific autoimmune and rare diseases.Frontiers in immunology · 2025Review
- Real-World Application of a Quantitative Systems Pharmacology (QSP) Model to Predict Potassium Concentrations from Electronic Health Records: A Pilot Case towards Prescribing Monitoring of Spironolactone.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Applying quantitative and systems pharmacology to drug development and beyond: An introduction to clinical pharmacologists.Indian journal of pharmacology · 2024Review
- Article
- What's next for computational systems biology?Frontiers in systems biology · 2023Review
- Mathematically Modeling the Effect of Endocrine and Cdk4/6 Inhibitor Therapies on Breast Cancer Cells.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Quantitative system pharmacology as a legitimate approach to examine extrapolation strategies used to support pediatric drug development.CPT: pharmacometrics & systems pharmacology · 2022Review
- Targeting Cellular DNA Damage Responses in Cancer: An In Vitro-Calibrated Agent-Based Model Simulating Monolayer and Spheroid Treatment Responses to ATR-Inhibiting Drugs.Bulletin of mathematical biology · 2021Article
- Cardiorenal Systems Modeling: Left Ventricular Hypertrophy and Differential Effects of Antihypertensive Therapies on Hypertrophy Regression.Frontiers in physiology · 2021Article
- Pharmacodynamic modeling of synergistic birinapant/paclitaxel interactions in pancreatic cancer cells.BMC cancer · 2020Article
- QSP-IO: A Quantitative Systems Pharmacology Toolbox for Mechanistic Multiscale Modeling for Immuno-Oncology Applications.CPT: pharmacometrics & systems pharmacology · 2020Article
- A Model-Informed Drug Discovery and Development Strategy for the Novel Glucose-Responsive Insulin MK-2640 Enabled Rapid Decision Making.Clinical pharmacology and therapeutics · 2020Article
- Mechanistic Multiscale Pharmacokinetic Model for the Anticancer Drug 2',2'-difluorodeoxycytidine (Gemcitabine) in Pancreatic Cancer.Clinical and translational science · 2020Article
- Multiscale modelling of drug transport and metabolism in liver spheroids.Interface focus · 2020Article
- MID3: Mission Impossible or Model-Informed Drug Discovery and Development? Point-Counterpoint Discussions on Key Challenges.Clinical pharmacology and therapeutics · 2020Article
- Application and Impact of Human Dose Projection from Discovery to Early Drug Development.AAPS PharmSciTech · 2020Review
- Applications of Quantitative Systems Pharmacology in Model-Informed Drug Discovery: Perspective on Impact and Opportunities.CPT: pharmacometrics & systems pharmacology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative and systems pharmacology concepts and tools are the foundation of the model-informed drug development paradigm at Merck for integrating knowledge, enabling decisions, and enhancing submissions. Rigorous prioritization of modeling and simulation activities has enabled key drug development decisions and led to a high return on investment through significant cost avoidance. Critical factors for the successful implementation, examples on impact on decision making with associated return of investment, and drivers for continued success are discussed.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.