Sentence examples for carcinogenicity prediction from inspiring English sources

Both drugs exhibit good oral bioavailability and mostly negative result in Ames test as predicted by FAF-Drugs2 and PreADMET toxicity prediction (data not shown) and no evidence of carcinogenic activity for only DB04698 as predicted by PreADMET rodent carcinogenicity prediction.

The big challenge in solving the general carcinogenicity prediction problem is to construct a model that would be able to predict carcinogenicity for a wide diversity of molecular structures, spanning an undetermined number of chemical classes and biological mechanisms.

Among the various methods for predicting carcinogenicity from a battery of short-term tests (STTs), the carcinogenicity prediction and battery selection (CPBS) procedure is the most prominent.

The carcinogenicity prediction has become a significant issue for the pharmaceutical industry.

A positive result for either category was recorded as a positive carcinogenicity prediction for the test chemical.

A positive or equivalent prediction in any category was recorded as a positive carcinogenicity prediction for the test chemical [38].

Finally, and most importantly, we demonstrate the potentialities of this approach towards the recognition of structural alerts for carcinogenicity predictions.

The prediction of bacterial mutagenicity is relatively successful (typical accuracies 80%), but the success with carcinogenicity predictions has been much more limited and very few models are available for in vivo mutagenicity.

Carcinogenicity predictions were made for these chemicals, based upon the SHE cell transformation assay results.

The results demonstrated that combining data from different sources increased the accuracy of liver carcinogenicity predictions (Caiment et al. 2014).

In the article two alternative models for prediction carcinogenicity are described.