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Advanced Compositional Analysis of Nanoparticle-polymer Composites Using Direct Fluorescence Imaging

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Published on: July 19, 2016

CompSafeNano project: NanoInformatics approaches for safe-by-design nanomaterials.

Dimitrios Zouraris^1,2, Angelos Mavrogiorgis¹, Andreas Tsoumanis^1,3

¹NovaMechanics Ltd, Nicosia 1070, Cyprus.

Computational and Structural Biotechnology Journal

|January 28, 2025

Summary

This summary is machine-generated.

The CompSafeNano project advances nanomaterial safety using nanoinformatics and predictive toxicology. It enables the design of safer nanomaterials (NMs) early in development by integrating computational modeling and Safe-by-Design (SbD) principles.

Keywords:

Computational approaches biomolecule interactions cloud platform nanoinformatics nanomaterials safety

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Area of Science:

Nanomaterial Safety and Toxicology
Computational Nanoscience
Nanoinformatics and Data Science

Background:

Nanomaterials (NMs) offer innovation but pose safety challenges.
Existing frameworks like NanoSolveIT and NanoCommons provide a foundation.
Regulatory acceptance of New Approach Methodologies (NAMs) for nanosafety is limited.

Purpose of the Study:

To integrate nanoinformatics, computational modeling, and predictive toxicology for safer NM design.
To apply Safe-by-Design (SbD) principles for inherently safer nanomaterials.
To enhance regulatory compliance and international collaboration in nanosafety.

Main Methods:

Utilized advanced in vitro models and in silico approaches.
Employed machine learning (ML), artificial intelligence (AI), and 1st-principles computational modeling.
Generated atomistic/quantum-mechanical descriptors and evaluated NM-biological system interactions.
Standardized data reporting and management adhering to FAIR principles.

Main Results:

Developed predictive models for NM risk assessment.
Successfully generated NM descriptors and evaluated biological interactions.
Created tools and models for NM safety evaluation and redesign.
Predicted biomolecule coronas to determine NM biological/environmental identity.

Conclusions:

CompSafeNano successfully developed integrated tools and models for computational nanosafety.
The project enables the redesign of NMs for inherent safety and sustainable use.
Further refinement of models, database expansion, and stakeholder engagement are planned to promote SbD adoption.