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PSP Publishes New Databases for Pharmacometrics & Systems Pharmacology

PSP Publishes New Databases for Pharmacometrics & Systems Pharmacology
Most people probably associate the disciplines of Pharmacometrics and Systems Pharmacology in the first instance mainly with modeling and simulation.  However, decades ago computer scientists had already pointed out the “garbage-in-garbage-out” (GIGO) principle, emphasizing the reliance of modelers on high-quality data.  The interconnectivity between data generation and model development is most prominent in quantitative systems pharmacology (QSP) and workflows have been developed for efficient and seamless integration.  Indeed, 6 out of the total of 8 recommendations from the seminal 2011 NIH White paper “Quantitative and Systems Pharmacology in the Post-genomic Era: New Approaches to Discovering Drugs and Understanding Therapeutic Mechanisms” relate to the need to invest in novel experimental approaches.  In particular, “biomeasures” are required to describe drug-independent characteristics of the system such as, for example, target expressions level and turnover, organ blood flow or cell numbers.  For example, Vrana and co-workers recently published an open access repository for quantifying 284 important proteins associated with drug absorption, distribution, metabolism, and excretion (ADME). Such databases are critical for the further development of physiologically based pharmacokinetic (PBPK) models.


In recognition of the importance of open-access high-quality data to advance the field of Pharmacometrics and Systems Pharmacology, PSP has established a dedicated article type, “Database.”  This article type describes a database that can be utilized by others for further pharmacometric or systems pharmacology analysis.  Following publication, the database is freely and readily accessible to all readers of PSPPSP is welcoming submissions of new Databases for publication.


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