Second generation periodic table-based descriptors to encode toxicity of metal oxide nanoparticles to multiple species: QSTR modeling for exploration of toxicity mechanisms-Reference-Cited by-同舟云学术

Second generation periodic table-based descriptors to encode toxicity of metal oxide nanoparticles to multiple species: QSTR modeling for exploration of toxicity mechanisms

Published:2018 Issue:11 Volume:5 Page:2742-2760
ISSN:2051-8153
Container-title:Environmental Science: Nano
language:en
Short-container-title:Environ. Sci.: Nano

Author:

De Priyanka¹²³⁴⁵,Kar Supratik⁶⁷⁸⁹¹⁰^ORCID,Roy Kunal¹²³⁴⁵^ORCID,Leszczynski Jerzy⁶⁷⁸⁹¹⁰^ORCID

Affiliation:

1. Drug Theoretics and Cheminformatics Laboratory

2. Department of Pharmaceutical Technology

3. Jadavpur University

4. Kolkata 700032

5. India

6. Interdisciplinary Center for Nanotoxicity

7. Department of Chemistry

8. Physics and Atmospheric Sciences

9. Jackson State University

10. Jackson

Abstract

The application of in silico methods in the risk assessment of metal oxide nanoparticles (MNPs) and data gap filling has found profound usability.

Funder

Division of Human Resource Development

Council of Scientific and Industrial Research

University Grants Commission

All India Council for Technical Education

Publisher

Royal Society of Chemistry (RSC)

Subject

General Environmental Science,Materials Science (miscellaneous)

Link

http://pubs.rsc.org/en/content/articlepdf/2018/EN/C8EN00809D

Reference81 articles.

1. Metallic nanoparticles functionalizing carbon nanotube networks for gas sensing applications

2. Applications of inorganic nanoparticles as therapeutic agents

3. Copper Oxide Nanoparticles Are Highly Toxic: A Comparison between Metal Oxide Nanoparticles and Carbon Nanotubes

4. The release of engineered nanomaterials to the environment

5. Predictive models for nanotoxicology: Current challenges and future opportunities

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