As structural bioinformatics group we are interested in bridging data-driven artificial intelligence (AI) and physics-based 3D modelling to better understand the molecular basis of health and disease and to rationalize drug design.

We are looking for an enthusiastic, highly-qualified, international young researcher to join our group in a postdoc. Find mode informations here

1. Renaud, N., Geng, C., Georgievska, S., Ambrosetti, F., Ridder, L., Marzella, D.F., Réau, M.F., Bonvin, A.M.J.J., Xue, L.C., 2021. DeepRank: a deep learning framework for data mining 3D protein-protein interfaces. Nat Commun 12, 7068. https://doi.org/10.1038/s41467-021-27396-0
2. Marzella, D.F., Parizi, F.M., Tilborg, D. van, Renaud, N., Sybrandi, D., Buzatu, R., Rademaker, D.T., ‘t Hoen, P.A.C., Xue, L.C., 2022. PANDORA: A Fast, Anchor-Restrained Modelling Protocol for Peptide: MHC Complexes. Frontiers in Immunology 13.
3. Rademaker, D.T., van Geemen, K.J., Xue, L.C., 2023. GradPose: a very fast and memory-efficient gradient descent-based tool for superimposing millions of protein structures from computational simulations. Bioinformatics 39, btad444. https://doi.org/10.1093/bioinformatics/btad444