Mechanistic Pharmacokinetic Modeling for the Prediction of ...

Mechanistic pharmacokinetic modeling for the prediction ... - PubMed

With efforts to reduce cytochrome P450-mediated clearance (CL) during the early stages of drug discovery, transporter-mediated CL mechanisms are becoming ...

Although this approach relies on the use of empirical scaling factors for active uptake and biliary efflux, it allows simultaneous assessment of ...

Mechanistic Pharmacokinetic Modeling for the Prediction of ...

Use of scaled active uptake, passive distribution, and biliary efflux parameters as inputs into a PBPK model resulted in the overprediction of exposure for all ...

[PDF] Mechanistic Pharmacokinetic Modeling for the Prediction of ...

This study illustrates the mechanistic and model-driven application of in vitro uptake and efflux data for human PK prediction for OATP substrates and shows ...

(PDF) Mechanistic Pharmacokinetic Modeling for the Prediction of ...

Physiologically-based pharmacokinetic models developed in the rat often provide a sound basis for predicting human hepatic disposition.

Mechanistic pharmacokinetic modeling for the prediction of ...

Mechanistic pharmacokinetic modeling for the prediction of transporter-mediated disposition in humans from sandwich culture human hepatocyte data. Hannah M ...

Prediction of Human Pharmacokinetics From Chemical Structure

The hybrid model in our approach consists of a machine learning part, here a deep graph convolutional network (GCN), and a mechanistic part, a whole-body PBPK ...

Mechanistic Physiologically Based Pharmacokinetic Modeling of the ...

A mechanistic PBPK model was developed incorporating measured amorphous solubility, dissolution, metabolism, and plasma protein binding. A middle-out approach ...

Application of machine learning in combination with mechanistic ...

Application of IVIVE and PBPK modeling in prospective prediction of clinical pharmacokinetics: Strategy and approach during the drug discovery phase with ...

Novel Mechanistic PBPK Model to Predict Renal Clearance in ...

Abstract. Chronic kidney disease (CKD) has significant effects on renal clearance (CLr) of drugs. Physiologically-based pharmacokinetic (PBPK) ...

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Mechanistic pharmacokinetic modeling for the prediction of transporter-mediated disposition in humans from sandwich culture human hepatocyte data. Hannah M ...

Mechanistic Physiologically Based Pharmacokinetic (PBPK) Model ...

Thus, it offers a promising basis for effective cardiac concentration prediction. We used the models to predict the concentration-time profiles in plasma and ...

A hybrid modeling approach for assessing mechanistic ... - Nature

Pharmacokinetic (PK) predictions of compound disposition are critical for safety and efficacy assessments both before and after drugs enter ...

Prediction of Human Pharmacokinetics From Chemical Structure

that combines machine learning with a mechanistic model to predict two key human PK parameters purely from the chemical structure of small ...

A Mechanistic Pharmacokinetic Model for Liver Transporter ...

Physiologically based pharmacokinetic (PBPK) modeling was applied to interpret and predict how the interplay among physiological changes in ...

Prediction of Human Pharmacokinetics From Chemical Structure

Prediction of Human Pharmacokinetics From Chemical Structure: Combining Mechanistic Modeling with Machine Learning · No full-text available · Citations (7) ...

APPLICATIONS OF MECHANISTIC MODELING AND ...

Physiologically-based pharmacokinetic (PBPK) models. PBPK models are mechanistic approach to predict the concentration-time profiles both in plasma and in ...

A Mechanistic Site-Of-Action Model: A Tool for Informing Right ...

A Physiologically-Based Pharmacokinetic Model for the Prediction of Monoclonal Antibody Pharmacokinetics from In Vitro Data. CPT ...

[PDF] Mechanistic Pharmacokinetic/Target Engagement ...

The results provided an integrated PK/TE/PD modeling and bioanalytical framework for prediction of efficacious dose levels and duration of action for mAbs ...

Semi-mechanistic pharmacokinetic–pharmacodynamic modelling of ...

... models, in combination with different interaction models, may result in equally good description and prediction of data. Below, we discuss the identified models ...