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Model description language (MDL): A standard for modeling and simulation

  • Mike K. Smith
  • , Stuart L. Moodie
  • , Roberto Bizzotto
  • , Eric Blaudez
  • , Elisa Borella
  • , Letizia Carrara
  • , Phylinda Chan
  • , Marylore Chenel
  • , Emmanuelle Comets
  • , Ronald Gieschke
  • , Kajsa Harling
  • , Lutz Harnisch
  • , Niklas Hartung
  • , Andrew C. Hooker
  • , Mats O. Karlsson
  • , Richard Kaye
  • , Charlotte Kloft
  • , Natallia Kokash
  • , Marc Lavielle
  • , Giulia Lestini
  • Paolo Magni, Andrea Mari, France Mentré, Chris Muselle, Rikard Nordgren, Henrik B. Nyberg, Zinnia P. Parra-Guillén, Lorenzo Pasotti, Niels Rode-Kristensen, Maria L. Sardu, Gareth R. Smith, Maciej J. Swat, Nadia Terranova, Gunnar Yngman, Florent Yvon, Nick Holford
  • Pfizer Limited, UK
  • Eight Pillars Ltd.
  • Ev-K2-CNR Committee
  • Lixoft
  • University of Pavia
  • Servier
  • INSERM U869
  • F. Hoffmann-La-Roche
  • Uppsala University
  • Free University of Berlin
  • Mango Solutions
  • University of Leiden
  • University College London
  • INRIA Institut National de Recherche en Informatique et en Automatique
  • Clínica Universidad de Navarra
  • Novo Nordisk A/S
  • Subsidiary of Merck KgaA
  • Cyprotex Discovery Limited
  • Addenbrookes Hospital
  • University of Auckland

Research output: Contribution to journalReview articlepeer-review

14 Citations (Scopus)

Abstract

Recent work on Model Informed Drug Discovery and Development (MID3) has noted the need for clarity in model description used in quantitative disciplines such as pharmacology and statistics.1-3 Currently, models are encoded in a variety of computer languages and are shared through publications that rarely include original code and generally lack reproducibility. The DDMoRe Model Description Language (MDL) has been developed primarily as a language standard to facilitate sharing knowledge and understanding of models.

Original languageEnglish
Pages (from-to)647-650
Number of pages4
JournalCPT: Pharmacometrics and Systems Pharmacology
Volume6
Issue number10
DOIs
Publication statusPublished - 1 Oct 2017
Externally publishedYes

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