The system of self-consistent models based on quasi-SMILES as a tool to predict the potential of nano-inhibitors of human lung carcinoma cell line A549 for different experimental conditions-Reference-Cited by-同舟云学术

The system of self-consistent models based on quasi-SMILES as a tool to predict the potential of nano-inhibitors of human lung carcinoma cell line A549 for different experimental conditions

Published:2023-02-06 Issue: Volume: Page:1-8
ISSN:0148-0545
Container-title:Drug and Chemical Toxicology
language:en
Short-container-title:Drug and Chemical Toxicology

Author:

Toropova Alla P.¹^ORCID,Meneses João²^ORCID,Alfaro-Moreno Ernesto²^ORCID,Toropov Andrey A.¹^ORCID

Affiliation:

1. Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy

2. Nanosafety Group, International Iberian Nanotechnology Laboratory, Braga, Portugal

Funder

LIFE-CONCERT

Publisher

Informa UK Limited

Subject

Chemical Health and Safety,Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Pharmacology,Toxicology,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/01480545.2023.2174986

Reference30 articles.

1. Particulate Matter and Nanoparticles Toxicology

2. The predictive model for band gap prediction of metal oxide nanoparticles based on quasi-SMILES

3. Development of a Quasi–Quantitative Structure–Activity Relationship Model for Prediction of the Immobilization Response of Daphnia magna Exposed to Metal‐Based Nanomaterials

4. Computational ecotoxicology: Simultaneous prediction of ecotoxic effects of nanoparticles under different experimental conditions

5. Nanosafety: An Evolving Concept to Bring the Safest Possible Nanomaterials to Society and Environment

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