Objectives:

• Prepare a well-curated database of nanoparticle ecotoxicity data
• Categorize the collected data
• Employ QSAR, i-QSTTR, and RA approaches to conduct SSD modeling
• Evaluate the variability and sensitivity profiles
• Assess the predictive accuracy of existing RA techniques
• Suggest an improved RA technique
• Establish a correlation between the ecotoxicity of NPs across species
• Identify practical case studies
• Develop user-friendly computational tools

Expected Outcome:

Oveview:

• Nano-Ecotoxicity database
• Better understanding of NPs sensitivity profiles
• ML models predicting Nano-Ecotoxicity
• SSDs models
• SSDs predicting tool/web-based application
• Dissemination of the results