OECD QSAR Toolbox
An Introduction to Replacing Experimentations using Read-Across and QSAR Modelling
•Introduction to OECD QSAR Toolbox
•Overview of all the tool functionalities.
Profiling and category formation
•Introduction to profiling and category formation approaches in the tool
Read-Across and QSAR predictions
•Ecotoxicological and environmental endpoints
•Human health endpoints
•Training participants can choose the endpoints and the chemical structures to be used as case studies.
Read-Across/QSAR prediction reports
•Generation of prediction reports which could be used for regulatory purposes.
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► Understanding the OECD QSAR Toolbox interface and functionalities.
► Be able to use the tool to obtain profiling and Read-Across/QSAR predictions for various physicochemical, ecotoxicological and human health endpoints.
► To assess the reliability in predictions derived using the OECD QSAR Toolbox.
► To generate prediction reports for the read-across and QSAR results.
► Toxicologists and Ecotoxicologists
► QSAR and Read-across experts
► REACH consultants
more detailsFaizan SAHIGARA completed his Master’s degree in Bioinformatics from King’s College London in 2010 during which he gained a thorough knowledge and training in the areas of Chemoinformatics, Protein-Protein interactions and programming languages. Later, he had been carrying out his research within the Marie Curie Initial Training Network – Environmental Chemoinformatics (ECO-ITN) to develop novel strategies in defining the Applicability Domain of QSAR models. In June 2013, as a part of his Marie Curie fellowship, he successfully defended his PhD work at the University of Milano-Bicocca, Italy. In October 2013, Faizan joined CEHTRA to develop High Accuracy QSARs (HA-QSARs) and strict validation of these models with a major focus on clearly defining their applicability domain and implementing statistical approaches to demonstrate the reliability in model predictions. Since October 2015, Faizan has joined KREATiS and is continuing his role as in Silico validation and Statistics Advisor.