Universidad Complutense de Madrid (SPAIN)
About this paper:
Appears in: INTED2019 Proceedings
Publication year: 2019
Page: 5637 (abstract only)
ISBN: 978-84-09-08619-1
ISSN: 2340-1079
doi: 10.21125/inted.2019.1386
Conference name: 13th International Technology, Education and Development Conference
Dates: 11-13 March, 2019
Location: Valencia, Spain
The main objective that we set was to provide students, both Graduate and Postgraduate, with an adaptive virtual learning environment. Herein they can practice the knowledge of toxicology acquired in the theoretical classes, complementing and increasing applied knowledge. Students would acquire practical experience in the handling toxicological data and virtual tools that are more and more present in the professional life, carrying out predictive experimental procedures and toxicological evaluations in silico with real tools.

The predictive methods are of increasing interest in toxicological evaluation. The strategy of minimizing animal suffering and reducing the number of animals used in each experimental trial (3R principle) is taking more importance. These in silico systems not only allow to relate and quantify computationally the toxicity of the new responses but also to predict pharmacological activities and effects of the substances.

To this end, we developed a web page where all those validated tool links for online toxicological analysis were included, and in this way, we created an easily accessible environment that includes most of the tools available, with an added value of tutorials or explanatory texts for their understanding.

With all this, the main objective was to ensure that students learn, not only how to use and interpret the data, but also the potential application of such data obtained through in silico systems.
Learning skills, self-learning, toxicology, in silico.