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Schultz, T.W.; Cronin, M.T.D.; Netzeva, T.I.; Aptula, A.O. Structure-Toxicity Relationships for Aliphatic Chemicals Evaluated with Tetrahymena pyriformis. Chem. Res. Toxicol. 2002, 15, 12, 1602–1609.

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Schultz, T.W.; Cronin, M.T.D.; Netzeva, T.I.; Aptula, A.O. Structure-Toxicity Relationships for Aliphatic Chemicals Evaluated with Tetrahymena pyriformis. Chem. Res. Toxicol. 2002, 15, 12, 1602–1609.

QDB archive DOI: 10.15152/QDB.11   DOWNLOAD

QsarDB content

Property MOA: Mode of action

Compounds: 500 | Models: 0 | Predictions: 0

Property pIGC50: 40-h Tetrahymena toxicity as log(1/IGC50) [log(L/mmol)]

Compounds: 500 | Models: 6 | Predictions: 6

1: Non-polar narcosis

Regression model (regression)

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Name Type n

R2

σ

Training training 215 0.927 0.274
2: Alcohols

Regression model (regression)

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Name Type n

R2

σ

Training training 92 0.930 0.268
3: Esters

Regression model (regression)

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Name Type n

R2

σ

Training training 57 0.866 0.299
4: Ketones

Regression model (regression)

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Name Type n

R2

σ

Training training 22 0.963 0.199
5: Nitriles

Regression model (regression)

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Name Type n

R2

σ

Training training 16 0.982 0.164
6: Sulfur-containing compounds

Regression model (regression)

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Name Type n

R2

σ

Training training 12 0.918 0.212

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Title: Schultz, T.W.; Cronin, M.T.D.; Netzeva, T.I.; Aptula, A.O. Structure-Toxicity Relationships for Aliphatic Chemicals Evaluated with Tetrahymena pyriformis. Chem. Res. Toxicol. 2002, 15, 12, 1602–1609.
Abstract: Quantitative structure-activity relationships were developed for the toxicity data of 500 aliphatic chemicals tested in the two-day Tetrahymena pyriformis population growth impairment assay. These chemicals represented a number of structural classes spanning a variety of mechanisms of toxic action including narcoses and electrophilic mechanisms. A series of quantitative structure-toxicity models correlating toxic potency [log(IGC(50)(-1))] with a limited number of mechanistically interpretable descriptors were developed for toxicological domains within the data set. The descriptors included the 1-octanol/water partition coefficient (log K(ow)) (for hydrophobicity) and the energy of the lowest unoccupied molecular orbital (E(lumo)) to quantify electrophilic reactivity. Neutral (nonpolar) narcosis was well modeled by the equation [log(IGC(50)(-1)) = 0.723(0.140) (log K(ow)) - 1.79(0.031); n = 215, r(2) (adj.) = 0.926, s = 0.274, r(2) (pred.) = 0.925]. Chemical classes fitting this domain included saturated alcohols, ketones, nitriles, esters, and sulfur-containing compounds. When the neutral narcotic chemicals were combined with diester narcotics, carboxylic sodium salts, Schiff-based forming aldehydes, electrophilic compounds capable of acting by a S(N)2 mechanism, and proelectrophiles, the model [log(IGC(50)(-1)) = 0.45(0.014) (log K(ow)) - 0.342 (0.035) (E(lumo)) - 1.11(0.05); n = 353, r(2) (adj.) = 0.859, s = 0.353, r(2) (pred.) = 0.857] provided a good fit to the data. The model [log(IGC(50)(-1)) = 0.273(0.018) (log K(ow)) - 0.116(0.056) (E(lumo)) - 0.558(0.054); n = 35, r(2) (adj.) = 0.873, s = 0.141, r(2) (pred.) = 0.838] provided an excellent fit of the data for compounds containing a carboxyl [RC(=O)O] group. The toxicity of aliphatic amines [RCN] was modeled by the equation [log(IGC(50)(-1)) = 0.676(0.048) (log K(ow)) - 1.23(0.08) n = 30, r(2) (adj.) = 0.873, s = 0. 336, r(2) (pred.) = 0.848]. The potency of saturated aliphatic isothiocyanates was a constant (0.0202 mM). Aliphatic chemicals that did not model well by equations involving log K(ow) and E(lumo) included amino alcohols and alpha-haloactivated compounds.
URI: http://hdl.handle.net/10967/11
http://dx.doi.org/10.15152/QDB.11
Date: 2012-05-23


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