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Nanotoxicology Volume 13, 2019 - Issue 5
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Articles

Risk assessment of heterogeneous TiO2-based engineered nanoparticles (NPs): a QSTR approach using simple periodic table based descriptors

Joyita RoyDrug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, IndiaView further author information
,
Probir Kumar OjhaDrug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, IndiaCorrespondence[email protected]
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Kunal RoyDrug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, IndiaCorrespondence[email protected] [email protected]
ORCID Iconhttp://orcid.org/0000-0003-4486-8074View further author information
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Pages 701-716 | Received 25 Jan 2019, Accepted 07 Mar 2019, Published online: 02 Apr 2019

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Supratik Kar, Kavitha Pathakoti, Danuta Leszczynska, Paul B. Tchounwou & Jerzy Leszczynski. (2022) In vitro and in silico study of mixtures cytotoxicity of metal oxide nanoparticles to Escherichia coli: a mechanistic approach. Nanotoxicology 16:5, pages 566-579.
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Filip Stoliński, Anna Rybińska-Fryca, Maciej Gromelski, Alicja Mikolajczyk & Tomasz Puzyn. (2022) NanoMixHamster: a web-based tool for predicting cytotoxicity of TiO2-based multicomponent nanomaterials toward Chinese hamster ovary (CHO-K1) cells. Nanotoxicology 16:3, pages 276-289.
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Joyita Roy & Kunal Roy. (2022) Modeling and mechanistic understanding of cytotoxicity of metal oxide nanoparticles (MeOxNPs) to Escherichia coli: categorization and data gap filling for untested metal oxides. Nanotoxicology 16:2, pages 152-164.
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Articles from other publishers (14)

Joyita Roy & Kunal Roy. (2023) Evaluating metal oxide nanoparticle (MeOx NP) toxicity with different types of nano descriptors mainly focusing on simple periodic table-based descriptors: a mini-review. Environmental Science: Nano 10:11, pages 2989-3011.
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Fan Zhang, Zhuang Wang, Willie J.G.M. Peijnenburg & Martina G. Vijver. (2023) Machine learning-driven QSAR models for predicting the mixture toxicity of nanoparticles. Environment International 177, pages 108025.
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Paul Rossener Regonia, Joshua Philippe Olorocisimo, Florencio De los Reyes, Kazushi Ikeda & Christian Mark Pelicano. (2022) Machine learning-enabled nanosafety assessment of multi-metallic alloy nanoparticles modified TiO2 system. NanoImpact 28, pages 100442.
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Leqi Sang, Yunlin Wang, Cheng Zong, Pengfei Wang, Huazhong Zhang, Dan Guo, Beilei Yuan & Yong Pan. (2022) Machine Learning for Evaluating the Cytotoxicity of Mixtures of Nano-TiO2 and Heavy Metals: QSAR Model Apply Random Forest Algorithm after Clustering Analysis. Molecules 27:18, pages 6125.
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Joyita Roy & Kunal Roy. (2022) Risk assessment and data gap filling of toxicity of metal oxide nanoparticles (Me O x NPs) used in nanomedicines: a mechanistic QSAR approach . Environmental Science: Nano 9:9, pages 3456-3470.
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Ewelina Wyrzykowska, Alicja Mikolajczyk, Iseult Lynch, Nina Jeliazkova, Nikolay Kochev, Haralambos Sarimveis, Philip Doganis, Pantelis Karatzas, Antreas Afantitis, Georgia Melagraki, Angela Serra, Dario Greco, Julia Subbotina, Vladimir Lobaskin, Miguel A. Bañares, Eugenia Valsami-Jones, Karolina Jagiello & Tomasz Puzyn. (2022) Representing and describing nanomaterials in predictive nanoinformatics. Nature Nanotechnology 17:9, pages 924-932.
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Jing Li, Chuanxi Wang, Le Yue, Feiran Chen, Xuesong Cao & Zhenyu Wang. (2022) Nano-QSAR modeling for predicting the cytotoxicity of metallic and metal oxide nanoparticles: A review. Ecotoxicology and Environmental Safety 243, pages 113955.
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Joyita Roy & Kunal Roy. (2021) Assessment of toxicity of metal oxide and hydroxide nanoparticles using the QSAR modeling approach. Environmental Science: Nano 8:11, pages 3395-3407.
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Hengjie Yu, Zhilin Zhao & Fang Cheng. (2021) Predicting and investigating cytotoxicity of nanoparticles by translucent machine learning. Chemosphere 276, pages 130164.
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Ronghua Qi, Yong Pan, Jiakai Cao, Beilei Yuan, Yanjun Wang & Juncheng Jiang. (2021) Toward comprehension of the cytotoxicity of heterogeneous TiO 2 -based engineered nanoparticles: a nano-QSAR approach . Environmental Science: Nano 8:4, pages 927-936.
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Supratik Kar & Jerzy Leszczynski. 2021. Health and Environmental Safety of Nanomaterials. Health and Environmental Safety of Nanomaterials 417 441 .
Anna Rybińska-Fryca, Alicja Mikolajczyk & Tomasz Puzyn. (2020) Structure–activity prediction networks (SAPNets): a step beyond Nano-QSAR for effective implementation of the safe-by-design concept. Nanoscale 12:40, pages 20669-20676.
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Jiakai Cao, Yong Pan, Yanting Jiang, Ronghua Qi, Beilei Yuan, Zhenhua Jia, Juncheng Jiang & Qingsheng Wang. (2020) Computer-aided nanotoxicology: risk assessment of metal oxide nanoparticles via nano-QSAR . Green Chemistry 22:11, pages 3512-3521.
Crossref
Rahul Balasaheb Aher, Kabiruddin Khan & Kunal Roy. 2020. Ecotoxicological QSARs. Ecotoxicological QSARs 27 53 .

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