Sentence examples for rodent toxicity from inspiring English sources
Rodent toxicity and carcinogenicity studies, on the other hand, have complex designs and incorporate large numbers of animals.
The bulk of the information in ToxValDB was derived from systemic animal (mainly rodent) toxicity studies, including subchronic, chronic, reproductive and multigenerational reproductive studies.
Taking the acute rodent toxicity as an example, Enslein et al.[3, 4] developed multiple linear regression (MLR) models based on noncongeneric datasets, and found that the models had poor prediction power.
More importantly, these findings suggest the utility of in vitro assays for stratifying environmental contaminants based on a combination of human bioactivity and rodent toxicity.
Models resulting from this approach employ chemical descriptors only for external prediction of acute rodent toxicity.
Obtaining additional data to develop a human physiologically based pharmaco-kinetic model would provide a tool for comparison and aid the interpretation of the rodent toxicity data.
We have previously reported the profile of toxic effects with respect to target organs (defined as organs showing histopathological changes) observed in rodent and non-rodent toxicity studies conducted prior to first time in man (FTIM) for 77 AstraZeneca candidate drugs (CDs) across a range of therapy areas.
In both humans and rodents toxicity begins with a reactive metabolite that binds to proteins.
Over past decades, a number of quantitative structure activity relationship (QSAR) models have been developed to predict rodent acute toxicity [5 7], It is well-known that acute toxic effect results from multiple potential modes of action (MOA), and it is quite difficult to develop a universal model with reliable prediction accuracy to an extensive data set.
Estimation of rodent acute toxicity is an important task in the safety assessment of drug candidates.
However, due to ethical reasons, the animal experiments on rodent acute toxicity are highly controversial.
