Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network

Author:

Cucurull‐Sanchez Lourdes1,Chappell Michael J.2,Chelliah Vijayalakshmi3,Amy Cheung S. Y.45,Derks Gianne6,Penney Mark7,Phipps Alex8,Malik‐Sheriff Rahuman S.9,Timmis Jon10,Tindall Marcus J.1112,Graaf Piet H.313,Vicini Paolo1415,Yates James W. T.16

Affiliation:

1. GlaxoSmithKline Medicines Research Centre Stevenage UK

2. School of EngineeringUniversity of Warwick Coventry UK

3. Certara QSP Canterbury UK

4. Quantitative Clinical PharmacologyEarly Clinical DevelopmentInnovative Medicines and Early Development Biotech UnitAstraZeneca Cambridge UK

5. CertaraPrinceton New Jersey USA

6. Department of MathematicsUniversity of Surrey Guildford UK

7. Union Chimique Belge‐Celltech Slough Berkshire UK

8. Pharmaceutical SciencesRoche Pharmaceutical Research & Early DevelopmentRoche Innovation Center Welwyn Garden City UK

9. European Molecular Biology LaboratoryEuropean Bioinformatics InstituteWellcome Genome Campus Cambridge UK

10. Department of Electronic EngineeringUniversity of York York UK

11. Department of Mathematics and StatisticsUniversity of Reading Reading UK

12. The Institute for Cardiovascular and Metabolic ResearchUniversity of Reading Reading UK

13. Leiden Academic Centre for Drug Research Leiden The Netherlands

14. Clinical PharmacologyPharmacometrics and Drug Metabolism and Pharmaco‐KineticsMedImmune Cambridge UK

15. Development SciencesKymab Ltd Cambridge UK

16. Drug Metabolism and Pharmaco‐Kinetics, Oncology, Innovative Medicines and Early DevelopmentAstraZenecaChesterford Research Park Cambridge UK

Funder

Engineering and Physical Sciences Research Council

Medical Research Council

Biotechnology and Biological Sciences Research Council

European Molecular Biology Laboratory

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

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