New tool to detect recurring patterns in intrinsically disordered protein regions
Dresden researchers create physical model and identify boundary between accurate and random replication.
Facilitating collaboration across fields
Two Math research group leaders at the MPI-CBG and CSBD become part of TU Dresden network.
Machine learning algorithm, PICNIC, can predict which proteins are involved in biomolecular condensates, regardless of their structure.
Young group leaders join international network of life scientists and receive financial support.
Boehringer Ingelheim Foundation, Max Planck Society, TU Dresden and the Free State of Saxony agree on joint financing of EUR 40 million.
Dresden researchers explain the mechanism behind rotating asymmetric tissue in organoids of the pancreas.
Prime Minister awards highest state honor of Saxony to pioneer in the field of bioinformatics.
Aida Maraj starts her research group at the MPI-CBG and the CSBD.
