Computational enrichment of physicochemical data for the development of a ζ-potential read-across predictive model with Isalos Analytics Platform-Reference-Cited by-同舟云学术

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Computational enrichment of physicochemical data for the development of a ζ-potential read-across predictive model with Isalos Analytics Platform

Published:2021-04 Issue: Volume:22 Page:100308
ISSN:2452-0748
Container-title:NanoImpact
language:en
Short-container-title:NanoImpact

Author:

Papadiamantis Anastasios G.,Afantitis Antreas,Tsoumanis Andreas,Valsami-Jones Eugenia,Lynch Iseult,Melagraki Georgia

Funder

European Commission

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality,Materials Science (miscellaneous)

Reference95 articles.

1. The role of reactive oxygen species (ROS) in the biological activities of metallic nanoparticles;Abdal Dayem;Int. J. Mol. Sci.,2017

2. Nanoinformatics: artificial intelligence and nanotechnology in the new decade;Afantitis;Comb. Chem. High Throughput Screen.,2020

3. A nanoinformatics decision support tool for the virtual screening of gold nanoparticle cellular association using protein corona fingerprints;Afantitis;Nanotoxicology,2018

4. NanoSolveIT project: driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment;Afantitis;Comput. Struct. Biotechnol. J.,2020

5. Enalos suite of tools: enhance cheminformatics and nanoinformatics through KNIME;Afantitis;Curr. Med. Chem.,2020

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2. ASCOT: A web tool for the digital construction of energy minimized Ag, CuO, TiO2 spherical nanoparticles and calculation of their atomistic descriptors;Computational and Structural Biotechnology Journal;2024-12

3. Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure–activity relationship (q-RASAR) with the application of machine learning;Critical Reviews in Toxicology;2024-09-03

4. Building species trait-specific nano-QSARs: Model stacking, navigating model uncertainties and limitations, and the effect of dataset size;Environment International;2024-06

5. Sustainable lignin nanoparticles from coconut fiber waste for enhancing multifunctional properties of macroalgae biofilms;International Journal of Biological Macromolecules;2024-02

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