Nano-QSAR modeling for predicting biological activity of diverse nanomaterials-Reference-Cited by-同舟云学术

Nano-QSAR modeling for predicting biological activity of diverse nanomaterials

Published:2014 Issue:26 Volume:4 Page:13215-13230
ISSN:2046-2069
Container-title:RSC Adv.
language:en
Short-container-title:RSC Adv.

Author:

Singh Kunwar P.¹²³⁴⁵,Gupta Shikha¹²³⁴⁵

Affiliation:

1. Academy of Scientific and Innovative Research

2. New Delhi-110 001, India

3. Environmental Chemistry Division

4. CSIR-Indian Institute of Toxicology Research

5. Lucknow-226 001, India

Abstract

Case study-1 (diverse metal core NPs); case study-2 (similar metal core NPs); case study-3 (metal oxide NPs); case study-4 (surface modified multi-walled CNTs); case study-5 (fullerene derivatives).

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2014/RA/C4RA01274G

Reference83 articles.

1. Modeling the Cellular Uptake of Magnetofluorescent Nanoparticles in Pancreatic Cancer Cells: A Quantitative Structure Activity Relationship Study

2. Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles

3. Guidance for handling and use of nanomaterials at the workplace

4. NANOMATERIALS IN THE ENVIRONMENT: BEHAVIOR, FATE, BIOAVAILABILITY, AND EFFECTS

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

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