2011
DOI: 10.1080/1062936x.2011.569947
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QSAR studies on the depuration rates of polycyclic aromatic hydrocarbons, polybrominated diphenyl ethers and polychlorinated biphenyls in mussels (Elliptio complanata)

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Cited by 6 publications
(2 citation statements)
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“…Jäntschi et al developed a genetic algorithm in order to select pairs of proper structural descriptors able to estimate and predict octanol-water partition coefficients of 206 polychlorinated biphenyls 17 . Other properties, such as depuration rates and toxicity have been also the subject of several QSAR analysis [18][19][20][21][22][23] .…”
Section: Introductionmentioning
confidence: 99%
“…Jäntschi et al developed a genetic algorithm in order to select pairs of proper structural descriptors able to estimate and predict octanol-water partition coefficients of 206 polychlorinated biphenyls 17 . Other properties, such as depuration rates and toxicity have been also the subject of several QSAR analysis [18][19][20][21][22][23] .…”
Section: Introductionmentioning
confidence: 99%
“…developed QSAR model has good robustness, predictive ability and mechanism interpretability, which could be applied to predict the binding constants of other HO-PAHs.In another work, Li et al[62] establish a QSAR model for the depuration rate constants (k d ) of 28 PAHs, 8 Polybrominated Diphenyl Ethers (PBDEs) and 28 Polychlorinated Biphenyls (PCBs) in mussels (Elliptio complanata). All the quantum chemical descriptors are computed by Gaussian 09.…”
mentioning
confidence: 99%