Numerical study of small ecological communities reveals the importance of the full network structure of ecological interactions for ecosystem…
New theoretical work to understand mechanical properties of biological materials
Dresden researchers develop next-generation organoid model to better understand liver disease.
New Insights into TDP-43 Condensation and Neurodegeneration
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
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.
