Dresden researchers develop next-generation organoid model to better understand liver disease.
Discovery by researchers in Dresden and Edinburgh points to new understanding of the onset of ALS.
New tool to detect recurring patterns in intrinsically disordered protein regions
Dresden researchers create physical model and identify boundary between accurate and random replication.
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.
Dresden researchers explain the mechanism behind rotating asymmetric tissue in organoids of the pancreas.
Researchers develop new algorithm to compare structurally disordered protein segments.
Mathematical model shows that the shape of an animal can influence pattern formation.
Dresden researchers discover a new mechanism for three-dimensional tissue shape changes in animals.
