In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR

willingness to communicate in the iranian context: language learning orientation and social support

why some learners are willing to communicate in english, concurrently others are not, has been an intensive investigation in l2 education. willingness to communicate (wtc) proposed as initiating to communicate while given a choice has recently played a crucial role in l2 learning. it was hypothesized that wtc would be associated with language learning orientations (llos) as well as social suppo...

Making big sense from big data in toxicology by read-across.

Modern information technologies have made big data available in safety sciences, i.e., extremely large data sets that may be analyzed only computationally to reveal patterns, trends and associations. This happens by (1) compilation of large sets of existing data, e.g., as a result of the European REACH regulation, (2) the use of omics technologies and (3) systematic robotized testing in a high-...

Experimental toxicology in silico.

A review on applicability of in silico methods for toxicity testing by calculation for regulatory purposes, their survey and background of QSAR (Quantitative Structure-Activity Relationships) analysis are presented.

Integration of QSAR and in vitro toxicology.

The principles of quantitative structure-activity relationships (QSAR) are based on the premise that the properties of a chemical are implicit in its molecular structure. Therefore, if a mechanistic hypothesis can be proposed linking a group of related chemicals with a particular toxic end point, the hypothesis can be used to define relevant parameters to establish a QSAR. Ways in which QSAR an...

CHEMISTRY, TOXICOLOGY, and QSAR: an introduction