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simcyp® v21  (Simcyp)

 
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    Simcyp simcyp® v21
    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/result/simcyp® v21/product/Simcyp
    Average 90 stars, based on 1 article reviews
    simcyp® v21 - by Bioz Stars, 2026-04
    90/100 stars

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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