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Name | Type | n |
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Training | training | 12 | 0.974 | 0.139 |
Regression model (regression)
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Name | Type | n |
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Training | training | 21 | 0.977 | 0.206 |
Regression model (regression)
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Name | Type | n |
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Training | training | 50 | 0.977 | 0.239 |
Regression model (regression)
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Name | Type | n |
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Training | training | 27 | 0.941 | 0.269 |
Regression model (regression)
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Name | Type | n |
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Training | training | 27 | 0.962 | 0.218 |
Regression model (regression)
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Name | Type | n |
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Training | training | 15 | 0.888 | 0.294 |
Regression model (regression)
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Name | Type | n |
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Training | training | 15 | 0.960 | 0.175 |
Regression model (regression)
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Name | Type | n |
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Training | training | 50 | 0.639 | 0.939 |
Regression model (regression)
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Name | Type | n |
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Training | training | 36 | 0.881 | 0.323 |
When using this QDB archive, please cite (see details) it together with the original article:
Maran, U. Data for: Quantitative structure-activity relationships in fish toxicity studies Part 1: Relationship for 50 industrial pollutants. QsarDB repository, QDB.108. 2013. https://doi.org/10.15152/QDB.108
Könemann, H. Quantitative structure-activity relationships in fish toxicity studies Part 1: Relationship for 50 industrial pollutants. Toxicology 1981, 19, 209–221. https://doi.org/10.1016/0300-483X(81)90130-X
Title: | Könemann, H. Quantitative structure-activity relationships in fish toxicity studies Part 1: Relationship for 50 industrial pollutants. Toxicology 1981, 19, 3, 209–221. |
Abstract: | LC50-experiments have been conducted using guppies subjected to 72 industrial pollutants. The correlation of the LC50 with several expressions of the hydrophobicity of these chemicals has been studied. Calculated logP(oct) values appeared to satisfy more than HPLC retention indices, solubility data or molecular connectivity indices. One QSAR, with logP(oct) as the only variable, gave good estimations of the toxicity of most of the tested compounds with logP(oct) lower than 6. No LC50 could be determined for solutions of compounds with logP(oct) higher than 6. |
URI: | http://hdl.handle.net/10967/108
http://dx.doi.org/10.15152/QDB.108 |
Date: | 2013-09-13 |
Name | Description | Format | Size | View |
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1981T209.qdb.zip | Könemann classical baseline QSAR | application/zip | 18.38Kb | View/ |