ArticleCPT: pharmacometrics & systems pharmacology2016
A model qualification method for mechanistic physiological QSP models to support model-informed drug development.
Article in CPT: pharmacometrics & systems pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed.
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- Differential Impact of Pharmacokinetic and Pharmacodynamic Variability on Response to Combination Therapy.Pharmacology research & perspectives · 2026Article
- Identification and characterization of virtual sub-populations through phenotype-guided filtering. The challenging case of nonidentifiable models in the context of therapeutic evaluation.Journal of pharmacokinetics and pharmacodynamics · 2025Article
- QSP-Copilot: An AI-Augmented Platform for Accelerating Quantitative Systems Pharmacology Model Development.CPT: pharmacometrics & systems pharmacology · 2025Article
- The dawn of a new era: can machine learning and large language models reshape QSP modeling?Journal of pharmacokinetics and pharmacodynamics · 2025Review
- Virtual patients inspired by multiomics predict the efficacy of an anti-IFNα mAb in cutaneous lupus.iScience · 2025Article
- Simulation of clinical trials of oral treprostinil in pulmonary arterial hypertension using a virtual population.NPJ systems biology and applications · 2025Article
- Trends of Artificial Intelligence (AI) Use in Drug Targets, Discovery and Development: Current Status and Future Perspectives.Current drug targets · 2025Review
- What Is QSP and Why Does It Exist?: A Brief History.Handbook of experimental pharmacology · 2025Review
- Quantitative systems toxicology modeling in pharmaceutical research and development: An industry-wide survey and selected case study examples.CPT: pharmacometrics & systems pharmacology · 2024Review
- Model-informed drug discovery and development approaches to inform clinical trial design and regulatory decisions: A primer for the MENA region.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024Review
- Multiscale, mechanistic model of Rheumatoid Arthritis to enable decision making in late stage drug development.NPJ systems biology and applications · 2024Article
- Prospective approaches to gene therapy computational modeling - spotlight on viral gene therapy.Journal of pharmacokinetics and pharmacodynamics · 2024Review
- An industry perspective on current QSP trends in drug development.Journal of pharmacokinetics and pharmacodynamics · 2024Article
- Towards a comprehensive assessment of QSP models: what would it take?Journal of pharmacokinetics and pharmacodynamics · 2024Review
- Current practices for QSP model assessment: an IQ consortium survey.Journal of pharmacokinetics and pharmacodynamics · 2024Article
- 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
- Building virtual patients using simulation-based inference.Frontiers in systems biology · 2024Article
- In Silico Clinical Trials: Is It Possible?Methods in molecular biology (Clifton, N.J.) · 2024Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mechanistic physiological modeling is a scientific method that combines available data with scientific knowledge and engineering approaches to facilitate better understanding of biological systems, improve decision-making, reduce risk, and increase efficiency in drug discovery and development. It is a type of quantitative systems pharmacology (QSP) approach that places drug-specific properties in the context of disease biology. This tutorial provides a broadly applicable model qualification method (MQM) to ensure that mechanistic physiological models are fit for their intended purposes.
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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 Socratic graph.