Literature DB >> 19199378

The Simcyp population-based ADME simulator.

Masoud Jamei1, Steve Marciniak, Kairui Feng, Adrian Barnett, Geoffrey Tucker, Amin Rostami-Hodjegan.   

Abstract

The Simcyp population-based absorption, distribution, metabolism and excretion simulator is a platform and database for 'bottom-up' mechanistic modelling and simulation of the processes of oral absorption, tissue distribution, metabolism and excretion of drugs and drug candidates in healthy and disease populations. It combines experimental data generated routinely during preclinical drug discovery and development from in vitro enzyme and cellular systems and relevant physicochemical attributes of compound and dosage form with demographic, physiological and genetic information on different patient populations. The mechanistic approach implemented in the Simcyp Simulator allows simulation of complex absorption, distribution, metabolism and excretion outcomes, particularly those involving multiple drug interactions, parent drug and metabolite profiles and time- and dose-dependent phenomena such as auto-induction and auto-inhibition.This review describes the framework and organisation of the simulator and how it combines the different categories of information.

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Year:  2009        PMID: 19199378     DOI: 10.1517/17425250802691074

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  155 in total

1.  A quantitative framework and strategies for management and evaluation of metabolic drug-drug interactions in oncology drug development: new molecular entities as object drugs.

Authors:  Karthik Venkatakrishnan; Michael D Pickard; Lisa L von Moltke
Journal:  Clin Pharmacokinet       Date:  2010-11       Impact factor: 6.447

2.  Prediction of drug clearance in a smoking population: modeling the impact of variable cigarette consumption on the induction of CYP1A2.

Authors:  David R Plowchalk; Karen Rowland Yeo
Journal:  Eur J Clin Pharmacol       Date:  2012-01-19       Impact factor: 2.953

3.  A mechanism-based approach for absorption modeling: the Gastro-Intestinal Transit Time (GITT) model.

Authors:  Emilie Hénin; Martin Bergstrand; Joseph F Standing; Mats O Karlsson
Journal:  AAPS J       Date:  2012-06       Impact factor: 4.009

4.  Physiologically based modeling of pravastatin transporter-mediated hepatobiliary disposition and drug-drug interactions.

Authors:  Manthena V S Varma; Yurong Lai; Bo Feng; John Litchfield; Theunis C Goosen; Arthur Bergman
Journal:  Pharm Res       Date:  2012-05-26       Impact factor: 4.200

5.  Incorporating human dosimetry and exposure into high-throughput in vitro toxicity screening.

Authors:  Daniel M Rotroff; Barbara A Wetmore; David J Dix; Stephen S Ferguson; Harvey J Clewell; Keith A Houck; Edward L Lecluyse; Melvin E Andersen; Richard S Judson; Cornelia M Smith; Mark A Sochaski; Robert J Kavlock; Frank Boellmann; Matthew T Martin; David M Reif; John F Wambaugh; Russell S Thomas
Journal:  Toxicol Sci       Date:  2010-07-16       Impact factor: 4.849

6.  Predicting the effect of fed-state intestinal contents on drug dissolution.

Authors:  Ece Dilber Gamsiz; Mukul Ashtikar; John Crison; Walt Woltosz; Michael B Bolger; Rebecca Lyn Carrier
Journal:  Pharm Res       Date:  2010-10-21       Impact factor: 4.200

Review 7.  Drug delivery trends in clinical trials and translational medicine: evaluation of pharmacokinetic properties in special populations.

Authors:  Jenny Y Chien; Rodney J Y Ho
Journal:  J Pharm Sci       Date:  2011-01       Impact factor: 3.534

8.  Assessment of algorithms for predicting drug-drug interactions via inhibition mechanisms: comparison of dynamic and static models.

Authors:  Eleanor J Guest; Karen Rowland-Yeo; Amin Rostami-Hodjegan; Geoffrey T Tucker; J Brian Houston; Aleksandra Galetin
Journal:  Br J Clin Pharmacol       Date:  2011-01       Impact factor: 4.335

9.  Physiologically Based Pharmacokinetic Model of the CYP2D6 Probe Atomoxetine: Extrapolation to Special Populations and Drug-Drug Interactions.

Authors:  Weize Huang; Mariko Nakano; Jennifer Sager; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2017-08-31       Impact factor: 3.922

10.  In vitro screening for population variability in toxicity of pesticide-containing mixtures.

Authors:  Nour Abdo; Barbara A Wetmore; Grace A Chappell; Damian Shea; Fred A Wright; Ivan Rusyn
Journal:  Environ Int       Date:  2015-09-19       Impact factor: 9.621

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