Quasi-SMILES-Based Nano-Quantitative Structure–Activity Relationship Model to Predict the Cytotoxicity of Multiwalled Carbon Nanotubes to Human Lung Cells-Reference-Cited by-同舟云学术

Quasi-SMILES-Based Nano-Quantitative Structure–Activity Relationship Model to Predict the Cytotoxicity of Multiwalled Carbon Nanotubes to Human Lung Cells

Published:2018-02-14 Issue:3 Volume:31 Page:183-190
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Trinh Tung Xuan¹^ORCID,Choi Jang-Sik²,Jeon Hyunpyo³,Byun Hyung-Gi²,Yoon Tae-Hyun¹^ORCID,Kim Jongwoon³

Affiliation:

1. Department of Chemistry, College of Natural Sciences, Hanyang University, Seoul 04763, Republic of Korea

2. Division of Electronics, Information and Communication Engineering, Kangwon National University, Samcheok, Kangwon-do 24341, Republic of Korea

3. Environmental Safety Group, Korea Institute of Science and Technology (KIST) Europe, Campus E 7.1, D-66123 Saarbruecken, Germany

Funder

Ministry of Trade, Industry and Energy

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.7b00303

Reference60 articles.

1. European Commission. Regulations (EC) No 1907/2006 of the European Parliament and of the Council of 18 December 2006 Concerning the Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH), Establishing a European Chemical Agency, Amending Directive 1999/4. Off. J. Eur. Communities, 2006.

2. Meta-analysis of cellular toxicity for cadmium-containing quantum dots

3. Development of structure–activity relationship for metal oxide nanoparticles

4. Predicting toxic potencies of metal oxide nanoparticles by means of nano-QSARs

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

Cited by 82 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review on the structural characterization of nanomaterials for nano-QSAR models;Beilstein Journal of Nanotechnology;2024-07-11

2. Quantitative Structure–Activity Relationship Models for the Angiotensin-Converting Enzyme Inhibitory Activities of Short-Chain Peptides of Goat Milk Using Quasi-SMILES;Macromol;2024-06-04

3. Advancing Predictive Risk Assessment of Chemicals via Integrating Machine Learning, Computational Modeling, and Chemical/Nano‐Quantitative Structure‐Activity Relationship Approaches;Advanced Intelligent Systems;2024-02-14

4. Computational Nanotoxicology Models for Environmental Risk Assessment of Engineered Nanomaterials;Nanomaterials;2024-01-10

5. Human and environmental safety of carbon nanotubes across their life cycle;Nature Reviews Materials;2023-11-23