| Literature DB >> 21295893 |
A A Toropov1, A P Toropova, A Lombardo, A Roncaglioni, E Benfenati, G Gini.
Abstract
CORAL (CORrelation And Logic) software can be used to build up the quantitative structure--property/activity relationships (QSPR/QSAR) with optimal descriptors calculated with the simplified molecular input line entry system (SMILES). We used CORAL to evaluate the applicability domain of the QSAR models, taking a model of bioconcentration factor (logBCF) as example. This model's based on a large training set of more than 1000 chemicals. To improve the model is predictivity and reliability on new compounds, we introduced a new function, which uses the Delta(obs) = logBCF(expr)--logBCF(calc) of the predictions on the chemicals in the training set. With this approach, outliers are eliminated from the phase of training. This proved useful and increased the model's predictivity.Mesh:
Year: 2011 PMID: 21295893 DOI: 10.1016/j.ejmech.2011.01.018
Source DB: PubMed Journal: Eur J Med Chem ISSN: 0223-5234 Impact factor: 6.514