M
Masoud Jamei
Researcher at Simcyp
Publications - 105
Citations - 6061
Masoud Jamei is an academic researcher from Simcyp. The author has contributed to research in topics: Physiologically based pharmacokinetic modelling & Pharmacokinetics. The author has an hindex of 37, co-authored 95 publications receiving 4867 citations.
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Journal ArticleDOI
The Simcyp® population-based ADME simulator
Masoud Jamei,Steve Marciniak,Kairui Feng,Adrian Barnett,Geoffrey T. Tucker,Amin Rostami-Hodjegan +5 more
TL;DR: 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.
Journal ArticleDOI
Population-Based Mechanistic Prediction of Oral Drug Absorption
Masoud Jamei,David B. Turner,Jiansong Yang,Sibylle Neuhoff,Sebastian Polak,Amin Rostami-Hodjegan,Amin Rostami-Hodjegan,Geoffrey T. Tucker,Geoffrey T. Tucker +8 more
TL;DR: An approach that incorporates intrinsic variability for human populations within a mechanistic framework is described together with examples of its application to drug and formulation development.
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A Framework for Assessing Inter-individual Variability in Pharmacokinetics Using Virtual Human Populations and Integrating General Knowledge of Physical Chemistry, Biology, Anatomy, Physiology and Genetics: A Tale of ‘Bottom-Up’ vs ‘Top-Down’ Recognition of Covariates
TL;DR: In this review, the classical 'top-down' approach in covariate recognition is compared with the 'bottom-up' paradigm and the commonly known tools for simulating ADME properties are introduced.
Journal ArticleDOI
Prediction of intestinal first-pass drug metabolism.
TL;DR: The predictive accuracy of the "well-stirred" gut model with the "Q(Gut)" model is compared and the former overpredicts the fraction escaping first-pass gut metabolism; the latter improves the predictions by accounting for interplay between permeability and metabolism.
Journal ArticleDOI
PBPK models for the prediction of in vivo performance of oral dosage forms
Edmund Kostewicz,Leon Aarons,Martin Bergstrand,Michael B. Bolger,Aleksandra Galetin,Oliver Hatley,Masoud Jamei,Richard Lloyd,Xavier Pepin,Amin Rostami-Hodjegan,Erik Sjögren,Christer Tannergren,David B. Turner,Christian Wagner,Werner Weitschies,Jennifer B. Dressman +15 more
TL;DR: It is expected that the "innovative" integration of in vitro data from more appropriate in vitro models and the enhancement of the GI physiology component of PBPK models, arising from the OrBiTo project, will lead to a significant enhancement in the ability of P BPK models to successfully predict oral drug absorption and advance their role in preclinical and clinical development, as well as for regulatory applications.