New algorithm six times more reliable at predicting defective RNA
So far, it has not been possible to explain the causes of around half of all rare hereditary diseases. A Munich research team has developed an algorithm that predicts the effects of…
Predicting the effects of drugs regarding dosage, timing, possible drug combinations and other types of intervention such as gene knockouts can be experimentally difficult and very time-consuming. Nonetheless, this is one of the most important tasks…
Enabling Breakthroughs in High-Resolution Structural Analysis of Therapeutic Targets and their Visualization in the Native Cellular Context
The Leopoldina as German National Academy of Sciences provides science-based advice to policymakers and the public, promoting a scientifically enlightened society and responsible application of scientific insights. Prof Maria-Elena Torres-Padilla…
Inflammatory fatty liver disease (NASH, nonalcoholic steatohepatitis) and the resulting liver cancer are driven by autoaggressive T cells. Scientists from the German Cancer Research Center (DKFZ), Helmholtz Munich and the Technical University Munich…
During the COVID-19 pandemic, an increase in the chronic autoimmune disease type 1 diabetes was observed in children, also in Germany. Researchers at Helmholtz Munich and TU Dresden, in cooperation with the Kassenärztliche Vereinigung Bayern (KVB),…
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