Demonstration on OpenRiskNet approach on modelling for prediction or read across (ModelRX case study)

Webinar (organized by OpenRiskNet)
11 Jun 2019

Activity details

Tuesday, 11 June 2019, 16:00 CEST

Presenters: Philip Doganis and Haralambos Sarimveis (National Technical University of Athens, Greece)

The ModelRX case study contributes to OpenRiskNet by providing:

  • computational methods to support  suitability assessment of existing data and identification of analogues;
  • predictive modelling functionalities, which are essential in the field of final risk assessment.

During the webinar, we will focus on the Jaqpot platform within the ModelRX case study. Starting from a dataset in Jaqpot v4 at, we will apply an algorithm to create a model and get predictions, which are accompanied by QPRF (QSAR prediction reporting format) report.

We will also introduce the new Jaqpot v5 GUI (Graphical User Interface) at that allows users easy upload of models they have developed in their own Python or R environment, make them available as web services and offers powerful sharing functionalities of online resources.


Organisations involved

Johannes Gutenberg-Universität Mainz (JGU)
National Technical University of Athens (NTUA)

Links and additional materials