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Simcyp dynamic simulations simcyp v21
Dynamic Simulations Simcyp V21, supplied by Simcyp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/simcyp+simulator+v21/simcyp+v19/pmc11762507-60-25-26
Average 90 stars, based on 1 article reviews
dynamic simulations simcyp v21 - by Bioz Stars, 2026-10
90/100 stars

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Article Title: A novel physiologically based pharmacokinetic model of rectal absorption, evaluated and verified using clinical data on 10 rectally administered drugs.
Article Snippet: We present a physiologically based pharmacokinetic (PBPK) model simulating systemic drug concentrations following administration to the human rectum.. Rectum physiology is parameterized based on literature data.. The model utilizes in vitro release (IVRT) profiles from which drug mass transfer through the rectal fluid and tissue and into the systemic circulation are predicted.

Article Title: Challenges in Permeability Assessment for Oral Drug Product Development.
Article Snippet: For example, for danazol (logP = 4.2), Papp in plain buffer is 25-fold higher than Papp obtained using FeSSIF in the donor chamber [123], which significantly affects the derived Peff value (ranging from 8.2 to 0.4 × 10−4 cm/s when using the built-in correlation in the Simcyp Simulator v21).

Article Title: Challenges in Permeability Assessment for Oral Drug Product Development
Article Snippet: For example, for danazol (logP = 4.2), P app in plain buffer is 25-fold higher than P app obtained using FeSSIF in the donor chamber [ ], which significantly affects the derived P eff value (ranging from 8.2 to 0.4 × 10 −4 cm/s when using the built-in correlation in the Simcyp Simulator v21).

Construct:

Article Title: 2024 Annual Meeting American College of Clinical Pharmacology®.
Article Snippet: .. Description of Methods and Materials: The HER3DXd PBPK model was constructed using the small molecule module of Simcyp Simulator v21 to treat HER3-DXd as a parent drug leading to the formation of DXd as a metabolite. ..

Comparison:

Article Title: Physiologically based pharmacokinetic modeling for development and applications of a virtual celiac disease population using felodipine as a model drug.
Article Snippet: .. The methodology for this meta- analysis is explained by Howgate et al.12 For consistency and feasibility of prediction comparison between healthy and celiac populations, the ratio of celiac versus healthy was applied to the mean values of Sim- Healthy Volunteers library in Simcyp simulator V21 to obtain values for celiac subjects. ..



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Key PBPK modelling steps and components of each clinical study used in model development, refinement, verification and application. BCRP, breast cancer resistance protein; DDI, drug–drug interaction; fu inc , fraction of unbound dersimelagon in in vitro system; K m , Michaelis constant; MAD, multiple ascending dose; OATP, organic anion transporting polypeptide; PBPK, physiologically based pharmacokinetic; PK, pharmacokinetic; QD, once daily; V max , maximum velocity of reaction; V ss , volume of distribution at steady state.

Journal: British Journal of Clinical Pharmacology

Article Title: Physiologically based pharmacokinetic modelling to predict potential drug–drug interactions of dersimelagon (MT‐7117)

doi: 10.1111/bcp.16271

Figure Lengend Snippet: Key PBPK modelling steps and components of each clinical study used in model development, refinement, verification and application. BCRP, breast cancer resistance protein; DDI, drug–drug interaction; fu inc , fraction of unbound dersimelagon in in vitro system; K m , Michaelis constant; MAD, multiple ascending dose; OATP, organic anion transporting polypeptide; PBPK, physiologically based pharmacokinetic; PK, pharmacokinetic; QD, once daily; V max , maximum velocity of reaction; V ss , volume of distribution at steady state.

Article Snippet: All simulations were conducted using the Simcyp PBPK Simulator v21 (Certara), which integrates demographic, physiological, genomic and in vitro biochemical data to allow prediction of PK in virtual healthy populations.

Techniques: In Vitro

Input parameters of the  physiologically based pharmacokinetic  model for dersimelagon.

Journal: British Journal of Clinical Pharmacology

Article Title: Physiologically based pharmacokinetic modelling to predict potential drug–drug interactions of dersimelagon (MT‐7117)

doi: 10.1111/bcp.16271

Figure Lengend Snippet: Input parameters of the physiologically based pharmacokinetic model for dersimelagon.

Article Snippet: All simulations were conducted using the Simcyp PBPK Simulator v21 (Certara), which integrates demographic, physiological, genomic and in vitro biochemical data to allow prediction of PK in virtual healthy populations.

Techniques: Binding Assay, Software, Permeability, In Vitro, Inhibition