Nanoparticle PBPK model
Nanoparticle PBPK model simulates physiologically based pharmacokinetic behavior of nanoparticle formulations to evaluate and optimize systemic delivery of poorly soluble drugs such as SNX-2112.
Key Features:
- Physiologically Based Pharmacokinetic (PBPK) modeling: Implements PBPK modeling to simulate drug disposition in biological systems, including rats.
- SimBiology integration: Integrates SimBiology modeling capabilities for constructing and simulating mechanistic PBPK models.
- Concentration index and NCA: Performs concentration index (CI) calculations and non-compartmental analysis (NCA) for pharmacokinetic characterization.
- Parallel computing: Leverages parallel computing to accelerate simulations and analyses.
- Particulate uptake modeling: Includes parameters to model particulate uptake into organs such as the liver and spleen.
- In vivo release dynamics: Models in vivo release dynamics of drug from nanoparticles and predicts rapid release behavior observed with nanocrystals.
- Formulation scenario comparison: Supports simulation of administration scenarios including cosolvent and nanocrystal formulations for comparative pharmacokinetics.
- Experimental characterization integration: Incorporates experimental metrics such as particle size, differential scanning calorimetry, and drug release profiles.
- Formulation-specific properties: Represents formulation properties including wet-media milling preparation, poloxamer 188 stabilization, particle size of approximately 203 nm, and zeta potential of -11.6 mV for SNX-2112 nanocrystals.
Scientific Applications:
- Pharmacokinetic evaluation: Evaluates and optimizes pharmacokinetic profiles of nanoparticle-based drug formulations.
- Formulation development for poorly soluble drugs: Supports development and optimization of nanocrystal formulations for poorly soluble agents such as SNX-2112.
- Biodistribution analysis: Predicts biodistribution and particulate uptake in organs including the liver and spleen.
- Comparative formulation assessment: Compares pharmacokinetic behavior of nanocrystal formulations versus cosolvent formulations.
- In vivo release interpretation: Aids interpretation of in vivo drug release kinetics from nanoparticles and their impact on systemic exposure.
Methodology:
Uses SimBiology-based PBPK modeling with concentration index (CI) and non-compartmental analysis (NCA), leverages parallel computing, and includes model components for particulate uptake and in vivo release dynamics in rat simulations.
Topics
Collections
Details
- Cost:
- Free of charge (with restrictions)
- Tool Type:
- library
- Operating Systems:
- Windows, Linux, Mac
- Programming Languages:
- MATLAB
- Added:
- 5/5/2021
- Last Updated:
- 5/10/2021
Operations
Publications
Wu B, Dong D, Wang X, Wang H, Zhang X, Wang Y. Elucidating the in vivo fate of nanocrystals using a physiologically based pharmacokinetic model: a case study with the anticancer agent SNX-2112. International Journal of Nanomedicine. 2015. doi:10.2147/ijn.s79734. PMID:25848269. PMCID:PMC4386773.