Predicting Cytotoxicity of Metal Oxide Nanoparticles Using Isalos Analytics Platform

Predicting Cytotoxicity of Metal Oxide Nanoparticles Using Isalos Analytics Platform

A literature curated dataset containing 24 distinct metal oxide (Me<sub>x</sub>O<sub>y</sub>) nanoparticles (NPs), including 15 physicochemical, structural and assay-related descriptors, was enriched with 62 atomistic computational descriptors and exploited to produce a robus...

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Bibliographic Details
Main Authors: Anastasios G. Papadiamantis, Jaak Jänes, Evangelos Voyiatzis, Lauri Sikk, Jaanus Burk, Peeter Burk, Andreas Tsoumanis, My Kieu Ha, Tae Hyun Yoon, Eugenia Valsami-Jones, Iseult Lynch, Georgia Melagraki, Kaido Tämm, Antreas Afantitis
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Nanomaterials
Subjects:
cytotoxicity
metal oxide nanoparticles
Isalos analytics platform
computational descriptors
in silico modelling
machine learning
Online Access:https://www.mdpi.com/2079-4991/10/10/2017

Internet

https://www.mdpi.com/2079-4991/10/10/2017

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