Exaptation - Machine Learning for Compound Activity Prediction (2016-2018)
Term: 4/2016 - 9/2018
Topic:
The general aim of this project is to expand the application areas and compatible data sources for compound activity
prediction, and to apply these extended methods to ongoing drug discovery projects. Given the scale and complexity of the datasets, the
approaches to develop must be compatible with high-performance computing.
Project funded by JANSSEN RESEARCH & DEVELOPMENT, a division of JANSSEN PHARMACEUTICA N.V.
Project supported by Belgium government. Research Partners:Janssen Pharmaceutica NV, Belgium
Imec Vzw, Belgium
Katholieke Universiteit Leuven, Belgium
Universiteit Antwerpen, Belgium
VIB VZW, Belgium
Johannes Kepler University, Institute of Bioinformatics, Austria