Predicting Cytotoxicity of Metal Oxide Nanoparticles Using Isalos Analytics Platform

A literature curated dataset containing 24 distinct metal oxide (Me(x)O(y)) nanoparticles (NPs), including 15 physicochemical, structural and assay-related descriptors, was enriched with 62 atomistic computational descriptors and exploited to produce a robust and validated in silico model for predic...

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Detalles Bibliográficos
Autores principales: Papadiamantis, Anastasios G., Jänes, Jaak, Voyiatzis, Evangelos, Sikk, Lauri, Burk, Jaanus, Burk, Peeter, Tsoumanis, Andreas, Ha, My Kieu, Yoon, Tae Hyun, Valsami-Jones, Eugenia, Lynch, Iseult, Melagraki, Georgia, Tämm, Kaido, Afantitis, Antreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601995/
https://www.ncbi.nlm.nih.gov/pubmed/33066094
http://dx.doi.org/10.3390/nano10102017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601995/
https://www.ncbi.nlm.nih.gov/pubmed/33066094
http://dx.doi.org/10.3390/nano10102017

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