Jaqpot Quattro: A Novel Computational Web Platform for Modeling and Analysis in Nanoinformatics

Area of Science:

• Environmental Science
• Toxicology
• Computational Chemistry

Background:

• Engineered nanomaterials (ENMs) are widely used but can pose risks to human health and the environment.
• Assessing ENM safety is challenging due to complex toxicological mechanisms.
• There is a growing need for harmonized databases and modeling infrastructures for ENM safety assessment.

Purpose of the Study:

• To introduce Jaqpot Quattro, a comprehensive open-source web application for modeling engineered nanomaterials.
• To provide tools for predicting the adverse effects of ENMs.
• To support the safer-by-design approach and reduce animal testing in regulatory frameworks like REACH.

Main Methods:

• Development of a web application integrating various computational toxicology approaches.
• Implementation of nanoQSAR (Quantitative Structure-Activity Relationship) modeling for ENMs.
• Inclusion of validation services, read-across predictions, optimal experimental design, and interlaboratory testing functionalities.

Main Results:

• Jaqpot Quattro provides a unified platform for ENM safety assessment.
• The application facilitates the prediction of adverse effects, aiding risk evaluation.
• It supports harmonization efforts through standardized databases and modeling infrastructures.

Conclusions:

• Jaqpot Quattro is a valuable open-source tool for predicting ENM toxicity.
• The application promotes cost- and time-effective safety assessments.
• It contributes to the development of safer nanomaterials and aligns with regulatory goals to reduce animal testing.