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Articles

Predicting algal growth inhibition toxicity: three-step strategy using structural and physicochemical properties

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Pages 343-362 | Received 17 Feb 2016, Accepted 31 Mar 2016, Published online: 12 May 2016

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F. Lunghini, G. Marcou, P. Azam, M.H. Enrici, E. Van Miert & A. Varnek. (2020) Consensus QSAR models estimating acute toxicity to aquatic organisms from different trophic levels: algae, Daphnia and fish. SAR and QSAR in Environmental Research 31:9, pages 655-675.
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Amit Kumar Halder & Maria Natália Dias Soeiro Cordeiro. 2021. Chemometrics and Cheminformatics in Aquatic Toxicology. Chemometrics and Cheminformatics in Aquatic Toxicology 293 317 .
Takashi YamadaTomoko KawamuraTaeko MaruyamaMasayuki KurimotoHiroshi YamamotoNaruo KatsutaniAkihiko Hirose. (2021) Quantitative structure-activity relationship and a category approach to support algal toxicity assessment of human pharmaceuticals. Fundamental Toxicological Sciences 8:7, pages 195-204.
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Ayako Furuhama. 2020. Ecotoxicological QSARs. Ecotoxicological QSARs 591 613 .
Ülo Niinemets, Anne Kahru, Peeter Nõges, Arvo Tuvikene, Anti Vasemägi, Ülo Mander & Tiina Nõges. (2017) Environmental feedbacks in temperate aquatic ecosystems under global change: why do we need to consider chemical stressors?. Regional Environmental Change 17:7, pages 2079-2096.
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