Novel QSAR Models for Predicting Toxicity of Chemicals to Aquatic Organisms and Identifying the Mode of Action
Poster May 05, 2011
Kiril Lanevskij, Liutauras Juska, Remigijus Didziapetris and Pranas Japertas
The utilized modelling approach was validated by applying the same principles to develop a predictive model for IGC50 (50% inhibitory growth concentration) to protozoan Tetrahymena pyriformis. This model was submitted as an entry for environmental toxicity prediction challenge hosted by CADASTER project. The model derived using known IGC50 values for 644 compounds was identified among the winners achieving RMSE under 0.8 log units for blind validation set of 120 chemicals. It is also demonstrated that the chemicals Mode of Action (MOA) can be determined using a simple set of structural fragments associated with certain MOA classes.
In April 2017, a campus-community event (N=42 participants) was held to promote sustainable food systems by educating participants about concepts ranging from food production to nutrition and food waste management. This poster discusses the resulting increased awareness and knowledge of a our local food system among participants, which can be fostered through educational events that combine opportunities for research, teaching, and practice.READ MORE
Inflammatory bowel diseases (IBD) often present in adolescence and affect >1.4 million persons in the US. Environmental exposures, notably air pollution and weather, have been suggested to contribute to IBD disease activity. Our goal was to evaluate relationships between environmental exposures and the prevalence and disease activity of pediatric IBD using novel data sources that take into account geographic location.READ MORE