Literature DB >> 23165187

Applying quantitative structure-activity relationship approaches to nanotoxicology: current status and future potential.

David A Winkler1, Enrico Mombelli, Antonio Pietroiusti, Lang Tran, Andrew Worth, Bengt Fadeel, Maxine J McCall.   

Abstract

The potential (eco)toxicological hazard posed by engineered nanoparticles is a major scientific and societal concern since several industrial sectors (e.g. electronics, biomedicine, and cosmetics) are exploiting the innovative properties of nanostructures resulting in their large-scale production. Many consumer products contain nanomaterials and, given their complex life-cycle, it is essential to anticipate their (eco)toxicological properties in a fast and inexpensive way in order to mitigate adverse effects on human health and the environment. In this context, the application of the structure-toxicity paradigm to nanomaterials represents a promising approach. Indeed, according to this paradigm, it is possible to predict toxicological effects induced by chemicals on the basis of their structural similarity with chemicals for which toxicological endpoints have been previously measured. These structure-toxicity relationships can be quantitative or qualitative in nature and they can predict toxicological effects directly from the physicochemical properties of the entities (e.g. nanoparticles) of interest. Therefore, this approach can aid in prioritizing resources in toxicological investigations while reducing the ethical and monetary costs that are related to animal testing. The purpose of this review is to provide a summary of recent key advances in the field of QSAR modelling of nanomaterial toxicity, to identify the major gaps in research required to accelerate the use of quantitative structure-activity relationship (QSAR) methods, and to provide a roadmap for future research needed to achieve QSAR models useful for regulatory purposes.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Chemical category; Computational toxicology; Nanotoxicology; QSAR; Regulation

Mesh:

Year:  2012        PMID: 23165187     DOI: 10.1016/j.tox.2012.11.005

Source DB:  PubMed          Journal:  Toxicology        ISSN: 0300-483X            Impact factor:   4.221


  30 in total

1.  Nanoparticles in the ocular drug delivery.

Authors:  Hong-Yan Zhou; Ji-Long Hao; Shuang Wang; Yu Zheng; Wen-Song Zhang
Journal:  Int J Ophthalmol       Date:  2013-06-18       Impact factor: 1.779

2.  Toward sustainable environmental quality: Priority research questions for Europe.

Authors:  Paul J Van den Brink; Alistair B A Boxall; Lorraine Maltby; Bryan W Brooks; Murray A Rudd; Thomas Backhaus; David Spurgeon; Violaine Verougstraete; Charmaine Ajao; Gerald T Ankley; Sabine E Apitz; Kathryn Arnold; Tomas Brodin; Miguel Cañedo-Argüelles; Jennifer Chapman; Jone Corrales; Marie-Agnès Coutellec; Teresa F Fernandes; Jerker Fick; Alex T Ford; Gemma Giménez Papiol; Ksenia J Groh; Thomas H Hutchinson; Hank Kruger; Jussi V K Kukkonen; Stefania Loutseti; Stuart Marshall; Derek Muir; Manuel E Ortiz-Santaliestra; Kai B Paul; Andreu Rico; Ismael Rodea-Palomares; Jörg Römbke; Tomas Rydberg; Helmut Segner; Mathijs Smit; Cornelis A M van Gestel; Marco Vighi; Inge Werner; Elke I Zimmer; Joke van Wensem
Journal:  Environ Toxicol Chem       Date:  2018-07-19       Impact factor: 3.742

3.  Physicochemical signatures of nanoparticle-dependent complement activation.

Authors:  Dennis G Thomas; Satish Chikkagoudar; Alejandro Heredia-Langer; Mark F Tardiff; Zhixiang Xu; Dennis E Hourcade; Christine T N Pham; Gregory M Lanza; Kilian Q Weinberger; Nathan A Baker
Journal:  Comput Sci Discov       Date:  2014-03-21

Review 4.  Toward a systematic exploration of nano-bio interactions.

Authors:  Xue Bai; Fang Liu; Yin Liu; Cong Li; Shenqing Wang; Hongyu Zhou; Wenyi Wang; Hao Zhu; David A Winkler; Bing Yan
Journal:  Toxicol Appl Pharmacol       Date:  2017-03-24       Impact factor: 4.219

5.  Predicting Nano-Bio Interactions by Integrating Nanoparticle Libraries and Quantitative Nanostructure Activity Relationship Modeling.

Authors:  Wenyi Wang; Alexander Sedykh; Hainan Sun; Linlin Zhao; Daniel P Russo; Hongyu Zhou; Bing Yan; Hao Zhu
Journal:  ACS Nano       Date:  2017-11-22       Impact factor: 15.881

6.  NanoEHS beyond Toxicity - Focusing on Biocorona.

Authors:  Sijie Lin; Monika Mortimer; Ran Chen; Aleksandr Kakinen; Jim E Riviere; Thomas P Davis; Feng Ding; Pu Chun Ke
Journal:  Environ Sci Nano       Date:  2017-06-01

Review 7.  Sparse QSAR modelling methods for therapeutic and regenerative medicine.

Authors:  David A Winkler
Journal:  J Comput Aided Mol Des       Date:  2018-02-14       Impact factor: 3.686

Review 8.  Nanoparticles in Daily Life: Applications, Toxicity and Regulations.

Authors:  Ritu Gupta; Huan Xie
Journal:  J Environ Pathol Toxicol Oncol       Date:  2018       Impact factor: 3.567

9.  Evaluating the cytotoxicity of a large pool of metal oxide nanoparticles to Escherichia coli: Mechanistic understanding through In Vitro and In Silico studies.

Authors:  Supratik Kar; Kavitha Pathakoti; Paul B Tchounwou; Danuta Leszczynska; Jerzy Leszczynski
Journal:  Chemosphere       Date:  2020-09-25       Impact factor: 7.086

10.  Computer-aided design of carbon nanotubes with the desired bioactivity and safety profiles.

Authors:  Denis Fourches; Dongqiuye Pu; Liwen Li; Hongyu Zhou; Qingxin Mu; Gaoxing Su; Bing Yan; Alexander Tropsha
Journal:  Nanotoxicology       Date:  2015-11-02       Impact factor: 5.913

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