Development of Generalized QSAR Models for Predicting Cytotoxicity and Genotoxicity of Metal Oxides Nanoparticles

Simple item page
dc.contributor.authorAmbure, Pravin
dc.contributor.authorBallesteros, Arantxa
dc.contributor.authorBarigye, Stephen J.
dc.contributor.authorGozalbes, Rafael
dc.date.accessioned2023-02-09T14:56:54Z
dc.date.available2023-02-09T14:56:54Z
dc.date.issued2020
dc.description.abstractIn recent years, nanomaterials have gained tremendous attention due to their wide variety of industrial applications including food packaging, consumer products, nanomedicines, etc. The fascinating properties of nanoparticles which are responsible for creating several exciting opportunities, however, are also accountable for growing concerns of their toxic effects on humans as well as the environment. Thus, in the present study, the authors have developed generalized models for predicting the cytotoxicity and genotoxicity of seven metal oxide nanoparticles. The models not only take into account the structural features, but also the diverse experimental conditions under which the toxicity of nanoparticles was determined. The diverse experimental conditions were captured in the generalized models using the Box-Jenkins moving average approach. Here, two machine learning techniques, namely, linear discriminant analysis and random forest were utilized to build the final models. Importantly, the validation metrics showed that the developed models have significant discriminatory power.en_US
dc.identifier.citationAmbure, P., Ballesteros, A., Huertas, F., Camilleri, P., Barigye, S. J., & Gozalbes, R. (2020). Development of generalized QSAR models for predicting cytotoxicity and genotoxicity of metal oxides nanoparticles. International Journal of Quantitative Structure-Property Relationships (IJQSPR), 5(4), 83-100.DOI: 10.4018/IJQSPR.20201001.oa2en_US
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/7686
dc.language.isoenen_US
dc.publisherInternational Journal of Quantitative Structure-Property Relationshipsen_US
dc.subjectQSAR Modelsen_US
dc.subjectCytotoxicityen_US
dc.subjectGenotoxicityen_US
dc.titleDevelopment of Generalized QSAR Models for Predicting Cytotoxicity and Genotoxicity of Metal Oxides Nanoparticlesen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Development of Generalized QSAR Models for Predicting Cytotoxicity and Genotoxicity of Metal Oxides Nanoparticles.pdf
Size:
593.56 KB
Format:
Adobe Portable Document Format
Description:
Development of Generalized QSAR Models for Predicting Cytotoxicity and Genotoxicity of Metal Oxides Nanoparticles
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Engineering and Technology