Quantitative structure–toxicity relationship models for predication of toxicity of ionic liquids toward leukemia rat cell line IPC-81 based on index of ideality of correlation-Reference-Cited by-同舟云学术

Quantitative structure–toxicity relationship models for predication of toxicity of ionic liquids toward leukemia rat cell line IPC-81 based on index of ideality of correlation

Published:2021-12-12 Issue: Volume: Page:1-11
ISSN:1537-6516
Container-title:Toxicology Mechanisms and Methods
language:en
Short-container-title:Toxicology Mechanisms and Methods

Author:

Ahmadi Shahin¹,Lotfi Shahram²^ORCID,Kumar Parvin³^ORCID

Affiliation:

1. Department of Pharmaceutical Chemistry, Faculty of Pharmaceutical Chemistry, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran

2. Department of Chemistry, Payame Noor University (PNU), Tehran, Iran

3. Department of Chemistry, Kurukshetra University, Kurukshetra, India

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Toxicology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376516.2021.2000686

Reference61 articles.

1. A review of recent advances towards the development of QSAR models for toxicity assessment of ionic liquids

2. Combinations of graph invariants and attributes of simplified molecular input-line entry system (SMILES) to build up models for sweetness

3. A QSPR Study of Association Constants of Macrocycles toward Sodium Cation

4. Mathematical modeling of cytotoxicity of metal oxide nanoparticles using the index of ideality correlation criteria

5. The predictive model for band gap prediction of metal oxide nanoparticles based on quasi-SMILES

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