Pharmacokinetics of Anti‐VEGF Agent Aflibercept in Cancer Predicted by Data‐Driven, Molecular‐Detailed Model
作者： SD Finley , P Angelikopoulos , P Koumoutsakos , AS Popel
DOI: 10.1002/PSP4.12040
关键词:
摘要: Mathematical models can support the drug development process by predicting pharmacokinetic (PK) properties of and optimal dosing regimens. We have developed a model that includes biochemical molecular interaction network linked to whole-body compartment model. applied study PK anti-vascular endothelial growth factor (VEGF) cancer therapeutic agent, aflibercept. Clinical data is used infer parameters using Bayesian approach, enabling quantitative estimation contributions specific transport processes interactions cannot be examined in other modeling, insight into mechanisms aflibercept's antiangiogenic action. Additionally, we predict plasma tissue concentrations unbound VEGF-bound Thus, present computational framework serve as valuable tool for efforts.
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