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.
Oxford and Dresden researchers develop a new method, TopACT, and reveal hidden patterns in lupus kidney disease.
Mistakes in protein production might help organisms adapt to sudden environmental changes.
