The Simcyp Population Based Simulator: Architecture, Implementation, and Quality Assurance

Masoud Jamei, Steve Marciniak, Duncan Edwards, Kris Wragg, Kairui Feng, Adrian Barnett, Amin Rostami-Hodjegan

    Research output: Contribution to journalArticlepeer-review


    Developing a user-friendly platform that can handle a vast number of complex physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) models both for conventional small molecules and larger biologic drugs is a substantial challenge. Over the last decade the Simcyp Population Based Simulator has gained popularity in major pharmaceutical companies (70% of top 40 - in term of R&D spending). Under the Simcyp Consortium guidance, it has evolved from a simple drug-drug interaction tool to a sophisticated and comprehensive Model Based Drug Development (MBDD) platform that covers a broad range of applications spanning from early drug discovery to late drug development. This article provides an update on the latest architectural and implementation developments within the Simulator. Interconnection between peripheral modules, the dynamic model building process and compound and population data handling are all described. The Simcyp Data Management (SDM) system, which contains the system and drug databases, can help with implementing quality standards by seamless integration and tracking of any changes. This also helps with internal approval procedures, validation and auto-testing of the new implemented models and algorithms, an area of high interest to regulatory bodies.
    Original languageEnglish
    Pages (from-to)1-14
    JournalIn Silico Pharmacology
    Issue number9
    Publication statusPublished - Dec 2013


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