Prediction of cytotoxicity of heavy metals adsorbed on nano-TiO<sub>2</sub> with periodic table descriptors using machine learning approaches.

Roy, Joyita; Pore, Souvik; Roy, Kunal

Prediction of cytotoxicity of heavy metals adsorbed on nano-TiO₂ with periodic table descriptors using machine learning approaches.

Roy, Joyita; Pore, Souvik; Roy, Kunal.

Afiliação

Roy J; Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700032, India.
Pore S; Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700032, India.
Roy K; Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700032, India.

Beilstein J Nanotechnol ; 14: 939-950, 2023.

Article em En | MEDLINE | ID: mdl-37736658

Palavras-chave

HK-2 cell; ML algorithm; QSAR; heavy metals; periodic table descriptors

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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