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Toxicity Assessment of the Binary Mixtures of Aquatic Organisms Based on Different Hypothetical Descriptors.

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第一作者： Meng,Ji

第一单位： College of Chemistry and Chemical Engineering, Yantai University, Yantai 264005, China.

作者： Meng,Ji ^[1] ; Lihong,Zhang ^[1] ; Xuming,Zhuang ^[1] ; Chunyuan,Tian ^[1] ; Feng,Luan ^[1] ; Maria Natália D S,Cordeiro ^[2]

作者单位： College of Chemistry and Chemical Engineering, Yantai University, Yantai 264005, China. ^[1] LAQV@REQUIMTE/Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal. ^[2]

关键词 forward stepwise multiple linear regression (MLR)mixture quantitative structure-activity relationships (QSAR)radial basis function neural networks (RBFNN)toxicity assessment

医学主题词水生生物(Aquatic Organisms);线性模型(Linear Models);有机化学品(Organic Chemicals);量化构效关系(Quantitative Structure-Activity Relationship)

DOI 10.3390/molecules27196389

PMID 36234923

发布时间 2022-10-19

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2022年27卷19期

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Toxicity Assessment of the Binary Mixtures of Aquatic Organisms Based on Different Hypothetical Descriptors.

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Toxicity Assessment of the Binary Mixtures of Aquatic Organisms Based on Different Hypothetical Descriptors.

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