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.