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Original Articles

‘Ideal correlations’ for the predictive toxicity to Tetrahymena pyriformis

ORCID Icon, ORCID Icon &
Pages 605-610 | Received 18 May 2020, Accepted 07 Jul 2020, Published online: 14 Aug 2020

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Q. Jia, S. Wang, M. Yu, Q. Wang & F. Yan. (2023) Two QSAR models for predicting the toxicity of chemicals towards Tetrahymena pyriformis based on topological-norm descriptors and spatial-norm descriptors. SAR and QSAR in Environmental Research 34:2, pages 147-161.
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Andrey A. Toropov, Alla P. Toropova, P. Ganga Raju Achary, Maria Raškova & Ivan Raška. (2022) The searching for agents for Alzheimer’s disease treatment via the system of self-consistent models. Toxicology Mechanisms and Methods 32:7, pages 549-557.
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Articles from other publishers (4)

Nasrin Rezaie-keikhaie, Fereshteh Shiri, Shahin Ahmadi & Maryam Salahinejad. (2023) QSTR based on Monte Carlo approach using SMILES and graph features for toxicity toward Tetrahymena pyriformis. Journal of the Iranian Chemical Society.
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Parvin Kumar, Ashwani Kumar, Sohan Lal, Devender Singh, Shahram Lotfi & Shahin Ahmadi. (2022) CORAL: Quantitative Structure Retention Relationship (QSRR) of flavors and fragrances compounds studied on the stationary phase methyl silicone OV-101 column in gas chromatography using correlation intensity index and consensus modelling. Journal of Molecular Structure 1265, pages 133437.
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Parvin Kumar & Ashwani Kumar. (2021) Correlation intensity index (CII) as a benchmark of predictive potential: Construction of quantitative structure activity relationship models for anti-influenza single-stranded DNA aptamers using Monte Carlo optimization. Journal of Molecular Structure 1246, pages 131205.
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Natalia Li & Tatyana Kalenik. (2021) Safety Assessment of Aqueous and Supercritical CO2 Extracts of the Chaga Mushroom Inonotus obliguus. Food Processing: Techniques and Technology 51:1, pages 125-133.
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