Our Research
Currently, our research interests are centered in (and around) the following areas:
- De novo design of compound libraries using multi-criteria exploration
- Data integration from chemical and biological sources
- Analysis of multidimensional life science data (e.g. from high-content screening or metabolomics sources)
- Structural data mining and machine learning
- Molecular property prediction
- Computational intelligence applications in cheminformatics
- Analysis of dynamic systems (e.g. metabolic or signaling networks) …