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population-based adme simulator simcyp version 13.1  (Simcyp)

 
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    Simcyp population-based adme simulator simcyp version 13.1
    Population Based Adme Simulator Simcyp Version 13.1, 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/result/population-based adme simulator simcyp version 13.1/product/Simcyp
    Average 90 stars, based on 1 article reviews
    population-based adme simulator simcyp version 13.1 - by Bioz Stars, 2026-04
    90/100 stars

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    Simcyp population-based pbpk software simcyp simulator (version 13.1)
    Schemes of model structures. A, parent–metabolite joint pharmacokinetic model. Ka, first-order absorption rate constant; Vp/F, apparent volume of distribution for the parent drug; CLpm/F, apparent clearance for conversion of the parent drug to metabolite; CLp/F, apparent clearance of the parent drug via renal excretion and additional liver metabolism; Vm, volume of distribution for the metabolite; CLm, clearance of the metabolite. B, whole-body <t>PBPK</t> model integrated with a mechanistic kidney module for prediction of veliparib pharmacokinetic profiles. The mechanistic kidney module illustrates the major processes governing drug transfer from blood to the urine: passive diffusion (passive diffusion clearance, CLpd), basolateral transporters-mediated uptake from the blood into proximal tubule cells (uptake transporter intrinsic clearance, CLint,T,up), and apical transporters-mediated efflux from the tubule cells into urine (efflux transporter intrinsic clearance, CLint,T,eff). The effects of the inhibitor (i.e., quinidine or cimetidine) on the CYP2D6 metabolism or OCT2 uptake activity was simulated in a dynamic fashion by linking the inhibitor model (i.e., limited PBPK model for quinidine or whole-body PBPK model for cimetidine) to veliparib PBPK model.
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    Schemes of model structures. A, parent–metabolite joint pharmacokinetic model. Ka, first-order absorption rate constant; Vp/F, apparent volume of distribution for the parent drug; CLpm/F, apparent clearance for conversion of the parent drug to metabolite; CLp/F, apparent clearance of the parent drug via renal excretion and additional liver metabolism; Vm, volume of distribution for the metabolite; CLm, clearance of the metabolite. B, whole-body PBPK model integrated with a mechanistic kidney module for prediction of veliparib pharmacokinetic profiles. The mechanistic kidney module illustrates the major processes governing drug transfer from blood to the urine: passive diffusion (passive diffusion clearance, CLpd), basolateral transporters-mediated uptake from the blood into proximal tubule cells (uptake transporter intrinsic clearance, CLint,T,up), and apical transporters-mediated efflux from the tubule cells into urine (efflux transporter intrinsic clearance, CLint,T,eff). The effects of the inhibitor (i.e., quinidine or cimetidine) on the CYP2D6 metabolism or OCT2 uptake activity was simulated in a dynamic fashion by linking the inhibitor model (i.e., limited PBPK model for quinidine or whole-body PBPK model for cimetidine) to veliparib PBPK model.

    Journal: Clinical cancer research : an official journal of the American Association for Cancer Research

    Article Title: Complex Disease–, Gene–, and Drug–Drug Interactions: Impacts of Renal Function, CYP2D6 Phenotype, and OCT2 Activity on Veliparib Pharmacokinetics

    doi: 10.1158/1078-0432.CCR-14-0791

    Figure Lengend Snippet: Schemes of model structures. A, parent–metabolite joint pharmacokinetic model. Ka, first-order absorption rate constant; Vp/F, apparent volume of distribution for the parent drug; CLpm/F, apparent clearance for conversion of the parent drug to metabolite; CLp/F, apparent clearance of the parent drug via renal excretion and additional liver metabolism; Vm, volume of distribution for the metabolite; CLm, clearance of the metabolite. B, whole-body PBPK model integrated with a mechanistic kidney module for prediction of veliparib pharmacokinetic profiles. The mechanistic kidney module illustrates the major processes governing drug transfer from blood to the urine: passive diffusion (passive diffusion clearance, CLpd), basolateral transporters-mediated uptake from the blood into proximal tubule cells (uptake transporter intrinsic clearance, CLint,T,up), and apical transporters-mediated efflux from the tubule cells into urine (efflux transporter intrinsic clearance, CLint,T,eff). The effects of the inhibitor (i.e., quinidine or cimetidine) on the CYP2D6 metabolism or OCT2 uptake activity was simulated in a dynamic fashion by linking the inhibitor model (i.e., limited PBPK model for quinidine or whole-body PBPK model for cimetidine) to veliparib PBPK model.

    Article Snippet: Using the population-based PBPK software Simcyp Simulator (version 13.1; Simcyp Ltd.), a whole-body PBPK model integrated with a mechanistic kidney module ( ) was developed to simulate veliparib plasma concentration–time profiles in an existing virtual Caucasian population with normal renal function (i.e., “NEurCaucasian” population).

    Techniques: Diffusion-based Assay, Activity Assay

    Drug-dependent parameters used in veliparib  PBPK  model with a mechanistic kidney module

    Journal: Clinical cancer research : an official journal of the American Association for Cancer Research

    Article Title: Complex Disease–, Gene–, and Drug–Drug Interactions: Impacts of Renal Function, CYP2D6 Phenotype, and OCT2 Activity on Veliparib Pharmacokinetics

    doi: 10.1158/1078-0432.CCR-14-0791

    Figure Lengend Snippet: Drug-dependent parameters used in veliparib PBPK model with a mechanistic kidney module

    Article Snippet: Using the population-based PBPK software Simcyp Simulator (version 13.1; Simcyp Ltd.), a whole-body PBPK model integrated with a mechanistic kidney module ( ) was developed to simulate veliparib plasma concentration–time profiles in an existing virtual Caucasian population with normal renal function (i.e., “NEurCaucasian” population).

    Techniques: Molecular Weight, Formulation, Recombinant, Clinical Proteomics, Concentration Assay, Activity Assay, Diffusion-based Assay

    Physiologically based pharmacokinetic modeling and simulation. A and B, observed and predicted single-dose and steady-state plasma concentration–time profiles of veliparib. Simulations of 10 virtual trials with 10 subjects in each were performed in Caucasian population with normal renal function, following oral administration of veliparib as either a single dose of 40 mg or twice daily 40 mg for 15 days. Observed data were obtained from 8 patients with Caucasian cancer with normal renal function receiving a single dose of 40 mg or twice daily dosing. The thick black line represents overall mean predicted concentration–time profile for the virtual population (n = 100); dotted and dash line represent the 95th and 5th percentile, respectively; and the symbols represented the observed veliparib concentrations. C, AUC ratios of veliparib under various scenarios. D, sensitivity analysis showing the impact of OCT2 activity (intrinsic uptake clearance) on veliparib plasma pharmacokinetic parameters (Cmax, maximum plasma concentration; Tmax, time to reach Cmax; AUC, area under the concentration–time curve; CL/F, oral clearance) and mechanistic kidney model parameters (CLr, renal clearance; Ae, accumulated amount of unchanged drug excreted in the urine; Akc-max, maximum amount of drug accumulated in the kidney proximal tubule cells). Sensitivity analysis was performed with OCT2 intrinsic uptake clearance varying from 0.1 to 20 μL/min/106 cells whereas ABCB1 intrinsic efflux clearance fixing at 2 μL/min/106 cells.

    Journal: Clinical cancer research : an official journal of the American Association for Cancer Research

    Article Title: Complex Disease–, Gene–, and Drug–Drug Interactions: Impacts of Renal Function, CYP2D6 Phenotype, and OCT2 Activity on Veliparib Pharmacokinetics

    doi: 10.1158/1078-0432.CCR-14-0791

    Figure Lengend Snippet: Physiologically based pharmacokinetic modeling and simulation. A and B, observed and predicted single-dose and steady-state plasma concentration–time profiles of veliparib. Simulations of 10 virtual trials with 10 subjects in each were performed in Caucasian population with normal renal function, following oral administration of veliparib as either a single dose of 40 mg or twice daily 40 mg for 15 days. Observed data were obtained from 8 patients with Caucasian cancer with normal renal function receiving a single dose of 40 mg or twice daily dosing. The thick black line represents overall mean predicted concentration–time profile for the virtual population (n = 100); dotted and dash line represent the 95th and 5th percentile, respectively; and the symbols represented the observed veliparib concentrations. C, AUC ratios of veliparib under various scenarios. D, sensitivity analysis showing the impact of OCT2 activity (intrinsic uptake clearance) on veliparib plasma pharmacokinetic parameters (Cmax, maximum plasma concentration; Tmax, time to reach Cmax; AUC, area under the concentration–time curve; CL/F, oral clearance) and mechanistic kidney model parameters (CLr, renal clearance; Ae, accumulated amount of unchanged drug excreted in the urine; Akc-max, maximum amount of drug accumulated in the kidney proximal tubule cells). Sensitivity analysis was performed with OCT2 intrinsic uptake clearance varying from 0.1 to 20 μL/min/106 cells whereas ABCB1 intrinsic efflux clearance fixing at 2 μL/min/106 cells.

    Article Snippet: Using the population-based PBPK software Simcyp Simulator (version 13.1; Simcyp Ltd.), a whole-body PBPK model integrated with a mechanistic kidney module ( ) was developed to simulate veliparib plasma concentration–time profiles in an existing virtual Caucasian population with normal renal function (i.e., “NEurCaucasian” population).

    Techniques: Clinical Proteomics, Concentration Assay, Activity Assay