The model predicts potency of chemicals to interact with Cysteine. The potency of chemicals is based on experimentally measured peptide depletion values.
The training set of the model consists of 121 proprietary chemicals with experimental DPRA Cysteine depletion values. The data were provided by L'OREAL.
The Cysteine potency model was developed on the bases of data from the in chemico Direct Peptide Reactivity Assay (DPRA) . The DPRA Cysteine depletion data were divided according to a potency scale into four potency categories (high, moderate, low and non reactive). The potency model consists of structural boundaries associated with theoretical mechanisms of interactions with the synthetic peptides supported by literature and experimental data.
The hypothesis used to build the model assumes that under the test conditions of the DPRA autoxidation transformations of the test chemicals are feasible. In this respect, the Cysteine potency models was combined with a simulator of autoxidation transformations at pH of DPRA Cysteine test medium (i.e., pH = 7.4).
The domain was determined by splitting training chemicals into correctly and incorrectly predicted chemicals. The applicability domain consists of three layers :
- General parametric requirements - includes ranges of variation of log KOW and MW,
- Structural domain - based on atom-centered fragments (ACFs),
- Alert performance - the threshold for reliability of an alert is 60% sensitivity
The reproducibility of the experimental results is expressed by an adjusted Pearson's contingency coefficient (C*). The performance of the cysteine potency model which accounts for the autoxidation transformations in neutral medium is C*= 0.88. Details on the predictability of the model for different reactivity potency ranges are illustrated on Figure 1.
Figure 1. Statistics of Cysteine potency model applied on the model training set with accounting for autoxidation.
The predictions of Cysteine potency model for a parent chemical and its possible autoxidation products could be reported in tab delimited file including the following information for the chemicals: chemical identity (CAS number, Name, SMILES), observed data, predicted Cysteine potency, applicability domain.
1. G. F. Gerberick, J. D. Vassallo, R. E. Bailey, J. G. Chaney, S. W. Morrall, J-P. Lepoittevin, Toxicol. Sc., (2004), 81, pp. 332-343.