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Dataset Information

Selecting ideal drugs for encapsulation in thermosensitive liposomes and other triggered nanoparticles.


ABSTRACT:

Objective

Thermosensitive liposomes (TSL) and other triggered drug delivery systems (DDS) are promising therapeutic strategies for targeted drug delivery. However, successful designs with candidate drugs depend on many variables, including nanoparticle formulation, drug properties, and cancer cell properties. We developed a computational model based on experimental data to predict the potential efficacies of drugs when used with triggered DDS, such as TSL.

Methods

A computer model based on the Krogh cylinder was developed to predict uptake and cell survival with four anthracyclines when delivered by intravascular triggered DDS (e.g., TSL): doxorubicin (DOX), idarubicin (IDA), pirarubicin (PIR), and aclarubicin (ACLA). We simulated three tumor types derived from SVR angiosarc

SUBMITTER: Ramajayam KK 

PROVIDER: S-EPMC9774053 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature