Quasi-SMILES for predicting toxicity of Nano-mixtures to Daphnia Magna-Reference-Cited by-同舟云学术

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Quasi-SMILES for predicting toxicity of Nano-mixtures to Daphnia Magna

Published:2022-10 Issue: Volume:28 Page:100427
ISSN:2452-0748
Container-title:NanoImpact
language:en
Short-container-title:NanoImpact

Author:

Toropova Alla P.,Toropov Andrey A.,Fjodorova Natalja

Funder

Ministrstvo za visoko šolstvo, znanost in tehnologijo

Istituto di Ricerche Farmacologiche Mario Negri

European Commission

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

Elsevier BV

Subject

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

Reference23 articles.

1. Chemical information theory: structural aspects;Bonchev;Int. J. Quantum Chem.,1982

2. Comments on the definition of the Q2 parameter for QSAR validation;Consonni;J. Chem. Inf. Model.,2009

3. Two-generational effects and recovery of arsenic and arsenate on daphnia magna in the presence of nano-TiO2;Fan;Ecotoxicol. Environ. Saf.,2019

4. How fullerene derivatives (FDs) act on therapeutically important targets associated with diabetic diseases;Fjodorova;Comput. Struct. Biotechnol. J.,2022

5. The potential of TiO2 nanoparticles as carriers for cadmium uptake in Lumbriculus variegatus and Daphnia magna;Hartmann;Aquat. Toxicol.,2012

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1. Multicellular target QSAR models for predicting of novel inhibitors against pancreatic cancer by Monte Carlo approach;Results in Chemistry;2024-08

2. Models for the No-Observed-Effect Concentration (NOEC) and Maximal Half-Effective Concentration (EC50);Toxics;2024-06-12

3. QSPR and Nano-QSPR: Which One Is Common? The Case of Fullerenes Solubility;Inorganics;2023-08-21

4. Quasi-SMILES as a basis for the development of QSPR models to predict the CO2 capture capacity of deep eutectic solvents using correlation intensity index and consensus modelling;Fuel;2023-08

5. The system of self-consistent models based on quasi-SMILES as a tool to predict the potential of nano-inhibitors of human lung carcinoma cell line A549 for different experimental conditions;Drug and Chemical Toxicology;2023-02-06

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