Dynamic QSAR modeling for predicting in vivo genotoxicity and inflammation induced by nanoparticles and advanced materials: a time-dose-property/response approach

Dynamic QSAR modeling for predicting in vivo genotoxicity and inflammation induced by nanoparticles and advanced materials: a time-dose-property/response approach

Abstract Predicting the health risks of nanoparticles (NPs) and advanced materials (AdMa) is a critical challenge. Due to the complexity and time-consuming nature of experimental testing, there is a reliance on in silico methods such as quantitative structure-activity relationship (QSAR), which, whi...

Full description

Saved in:
Bibliographic Details
Main Authors: Michalina Miszczak, Kabiruddin Khan, Pernille Høgh Danielsen, Keld Alstrup Jensen, Ulla Vogel, Roland Grafström, Agnieszka Gajewicz-Skretna
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Journal of Nanobiotechnology
Online Access:https://doi.org/10.1186/s12951-025-03510-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items