Literature DB >> 22704203

Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli.

Andrey A Toropov1, Alla P Toropova, Emilio Benfenati, Giuseppina Gini, Tomasz Puzyn, Danuta Leszczynska, Jerzy Leszczynski.   

Abstract

Convenient to apply and available on the Internet software CORAL (http://www.insilico.eu/CORAL) has been used to build up quantitative structure-activity relationships (QSAR) for prediction of cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli (minus logarithm of concentration for 50% effect pEC50). In this study six random splits of the data into the training and test set were examined. It has been shown that the CORAL provides a reliable tool that could be used to build up a QSAR of the pEC50.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22704203     DOI: 10.1016/j.chemosphere.2012.05.077

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  13 in total

1.  Optimal nano-descriptors as translators of eclectic data into prediction of the cell membrane damage by means of nano metal-oxides.

Authors:  Alla P Toropova; Andrey A Toropov; Emilio Benfenati; Rafi Korenstein; Danuta Leszczynska; Jerzy Leszczynski
Journal:  Environ Sci Pollut Res Int       Date:  2014-09-17       Impact factor: 4.223

2.  Monte Carlo Models for Sub-Chronic Repeated-Dose Toxicity: Systemic and Organ-Specific Toxicity.

Authors:  Gianluca Selvestrel; Giovanna J Lavado; Alla P Toropova; Andrey A Toropov; Domenico Gadaleta; Marco Marzo; Diego Baderna; Emilio Benfenati
Journal:  Int J Mol Sci       Date:  2022-06-14       Impact factor: 6.208

3.  Advantages and limitations of classic and 3D QSAR approaches in nano-QSAR studies based on biological activity of fullerene derivatives.

Authors:  Karolina Jagiello; Monika Grzonkowska; Marta Swirog; Lucky Ahmed; Bakhtiyor Rasulev; Aggelos Avramopoulos; Manthos G Papadopoulos; Jerzy Leszczynski; Tomasz Puzyn
Journal:  J Nanopart Res       Date:  2016-08-29       Impact factor: 2.253

Review 4.  Current Knowledge on the Use of Computational Toxicology in Hazard Assessment of Metallic Engineered Nanomaterials.

Authors:  Guangchao Chen; Willie Peijnenburg; Yinlong Xiao; Martina G Vijver
Journal:  Int J Mol Sci       Date:  2017-07-12       Impact factor: 5.923

5.  Towards the Development of Global Nano-Quantitative Structure-Property Relationship Models: Zeta Potentials of Metal Oxide Nanoparticles.

Authors:  Andrey A Toropov; Natalia Sizochenko; Alla P Toropova; Jerzy Leszczynski
Journal:  Nanomaterials (Basel)       Date:  2018-04-15       Impact factor: 5.076

6.  CORAL: Building up QSAR models for the chromosome aberration test.

Authors:  Andrey A Toropov; Alla P Toropova; Giuseppa Raitano; Emilio Benfenati
Journal:  Saudi J Biol Sci       Date:  2018-05-09       Impact factor: 4.219

Review 7.  Practices and Trends of Machine Learning Application in Nanotoxicology.

Authors:  Irini Furxhi; Finbarr Murphy; Martin Mullins; Athanasios Arvanitis; Craig A Poland
Journal:  Nanomaterials (Basel)       Date:  2020-01-08       Impact factor: 5.076

8.  An ISA-TAB-Nano based data collection framework to support data-driven modelling of nanotoxicology.

Authors:  Richard L Marchese Robinson; Mark T D Cronin; Andrea-Nicole Richarz; Robert Rallo
Journal:  Beilstein J Nanotechnol       Date:  2015-10-05       Impact factor: 3.649

9.  Conformation-Independent QSPR Approach for the Soil Sorption Coefficient of Heterogeneous Compounds.

Authors:  José F Aranda; Juan C Garro Martinez; Eduardo A Castro; Pablo R Duchowicz
Journal:  Int J Mol Sci       Date:  2016-08-03       Impact factor: 5.923

Review 10.  A Review of Recent Advances towards the Development of (Quantitative) Structure-Activity Relationships for Metallic Nanomaterials.

Authors:  Guangchao Chen; Martina G Vijver; Yinlong Xiao; Willie J G M Peijnenburg
Journal:  Materials (Basel)       Date:  2017-08-31       Impact factor: 3.623

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