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CPT Pharmacometrics Syst Pharmacol. 2015 Jun;4(6):316-9. doi: 10.1002/psp4.57. Epub 2015 Jun 15.

Pharmacometrics Markup Language (PharmML): Opening New Perspectives for Model Exchange in Drug Development.

Author information

1
EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus Hinxton, Cambridgeshire, UK.
2
Eight Pillars Ltd Edinburgh, UK.
3
Novo Nordisk A/S Bagsværd, Denmark.
4
Inria Saclay Paris, France.
5
National Research Council, Institute of Biomedical Engineering Padova, Italy.
6
Dipartimento di Ingegneria Industriale e dell'Informazione, Università degli Studi di Pavia Pavia, Italy.
7
Global Clinical Pharmacology, Pfizer Sandwich, UK.
8
INSERM, IAME, UMR 1137, Paris, France, University Paris Diderot, IAME, UMR 1137 Sorbonne Paris Cité, Paris, France.
9
Advanced Quantitative Sciences (AQS), Novartis Basel, Switzerland.
10
Merck Institute for Pharmacometrics, Merck Serono Lausanne, Switzerland.
11
Lixoft Orsay, France.
12
Mango Solutions Chippenham, Wiltshire, UK.
13
SGS Exprimo NV, Mechelen, Belgium, Clinical Pharmacokinetics and Pharmacometrics, Institut de Recherches Internationales Servier Suresnes, France.
14
Simcyp (a Certara company) Sheffield, UK.
15
CPMS Technology and Development Southall, UK.
16
CHIME, University College London London, UK.
17
Department of Pharmaceutical Biosciences, Uppsala University Uppsala, Sweden.
18
Freie Universtitaet Berlin, Germany, Institute of Pharmacy, Department of Clinical Pharmacy and Biochemistry Berlin, Germany.
19
Leiden Institute of Advanced Computer Science (LIACS), Leiden University Leiden, The Netherlands.
20
Mango Solutions Chippenham, Wiltshire, UK ; Department of Pharmaceutical Biosciences, Uppsala University Uppsala, Sweden.
21
Inria Grenoble - Rhône-Alpes Grenoble, France.
22
Scientific Computing Group, Cyprotex Discovery Limited Macclesfield, Crewe, UK.
23
Department of Pharmacy and Pharmaceutical Technology, University of Navarra Pamplona, Spain.
24
EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus Hinxton, Cambridgeshire, UK ; Babraham Institute, Babraham Research Campus Cambridge, UK.

Abstract

The lack of a common exchange format for mathematical models in pharmacometrics has been a long-standing problem. Such a format has the potential to increase productivity and analysis quality, simplify the handling of complex workflows, ensure reproducibility of research, and facilitate the reuse of existing model resources. Pharmacometrics Markup Language (PharmML), currently under development by the Drug Disease Model Resources (DDMoRe) consortium, is intended to become an exchange standard in pharmacometrics by providing means to encode models, trial designs, and modeling steps.

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