Back

Generic Purpose Pharmacokinetics-Pharmacodynamics Mathematical Model For Nanomedicine Targeted Drug Delivery: Mouse Model

Lazebnik, T.; Weitman, C.; Kaminka, G. A.

2022-07-14 bioinformatics
10.1101/2022.07.13.499855 bioRxiv
Show abstract

Pharmaceutical nanoparticles (NPs) carrying molecular payloads are used for medical purposes such as diagnosis and medical treatment. Currently, the research process of discovering a new applicative candidate for efficient clinical treatment is a time- and resource-consuming process due to the uncertainty of how NP behaves which requires a large number of experiments to study the properties of NPs-based drugs for clinical usage. In silico experiments are known to be powerful tools for studying biological and clinical systems and evaluating a drugs efficiency, which can significantly reduce the number of in vivo experiments required. To this extent, in this study, we present a novel spatio-temporal pharmacokinetics-pharmacodynamics (PKPD) model of NPs based drugs. The proposed model takes into consideration the blood flow in the cardiovascular system as well as PKPD dynamics taking place during the drugs flow and in the target sites. We show that the proposed model has a better fidelity compared to previous models on five in vivo experiments with 13 different NPs, done on mice.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.