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Aquatic toxicity (Pre)screening strategy for structurally diverse chemicals: global or local classification tree models?
Ecotoxicol Environ Saf. 2021 Jan 15;208:111738. doi: 10.1016/j.ecoenv.2020.111738. Epub 2020 Dec 9.
Ecotoxicol Environ Saf. 2021.
PMID: 33396066
Free article.
Representing and describing nanomaterials in predictive nanoinformatics.
Wyrzykowska E, Mikolajczyk A, Lynch I, Jeliazkova N, Kochev N, Sarimveis H, Doganis P, Karatzas P, Afantitis A, Melagraki G, Serra A, Greco D, Subbotina J, Lobaskin V, Bañares MA, Valsami-Jones E, Jagiello K, Puzyn T.
Wyrzykowska E, et al.
Nat Nanotechnol. 2022 Sep;17(9):924-932. doi: 10.1038/s41565-022-01173-6. Epub 2022 Aug 18.
Nat Nanotechnol. 2022.
PMID: 35982314
Review.
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Development of a novel in silico model of zeta potential for metal oxide nanoparticles: a nano-QSPR approach.
Wyrzykowska E, Mikolajczyk A, Sikorska C, Puzyn T.
Wyrzykowska E, et al.
Nanotechnology. 2016 Nov 4;27(44):445702. doi: 10.1088/0957-4484/27/44/445702. Epub 2016 Sep 26.
Nanotechnology. 2016.
PMID: 27668939
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Quantitative multi-species toxicity modeling: Does a multi-species, machine learning model provide better performance than a single-species model for the evaluation of acute aquatic toxicity by organic pollutants?
Gajewicz-Skretna A, Wyrzykowska E, Gromelski M.
Gajewicz-Skretna A, et al. Among authors: wyrzykowska e.
Sci Total Environ. 2023 Feb 25;861:160590. doi: 10.1016/j.scitotenv.2022.160590. Epub 2022 Dec 5.
Sci Total Environ. 2023.
PMID: 36473653
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