Current situation on the availability of nanostructure-biological activity data.

Area of Science:

• Nanotechnology
• Toxicology
• Computational Chemistry

Background:

• Increasing market presence of engineered nanomaterials (ENMs) necessitates robust safety assessments.
• The vast number of ENMs makes individual toxicity testing infeasible.
• Existing nanotoxicity data is often insufficient for reliable predictive modeling.

Purpose of the Study:

• To review and identify experimental data suitable for developing nano-quantitative structure-activity relationship (nano-QSAR) models.
• To provide a resource for researchers aiming to build predictive toxicity models for ENMs.
• To highlight the current availability of health effects data for ENMs.

Main Methods:

• Literature review of experimental nanotoxicity studies.
• Identification of studies with data amenable to quantitative structure-activity relationship (QSAR) analysis.
• Focus on data relevant to human health and environmental effects of ENMs.

Main Results:

• A curated selection of studies with appropriate experimental data for nano-QSAR modeling was identified.
• The review highlights gaps in available data for comprehensive nano-QSAR development.
• Specific datasets suitable for predicting ENM toxicity were pinpointed.

Conclusions:

• The availability of high-quality experimental data is crucial for accurate nano-QSAR model development.
• This review serves as a foundational resource for future predictive toxicology studies of ENMs.
• Further efforts are needed to generate standardized nanotoxicity data for robust computational modeling.