What's UniSysCat all about?

UniSysCat stands for Unifying Systems in Catalysis. We are a Cluster of Excellence - more than 300 researchers from four universities and four research institutes in the Berlin and Potsdam area - working jointly together on current challenges in the highly relevant field of catalysis.

UniSysCat unites biologists, chemists, engineers and physicists with the aim to revolutionize catalysis research.

News

Two joint works of 3 Unisyscat groups show the vital role of sulfur: non-innocence in the catalytic reduction of dioxygen to hydrogen peroxide & in mimicking the reactivity of ribonucleotide reductases

Four UniSysCat groups deciphered the multistep incorporation process of the catalytic NiFe(CN)2(CO) cofactor into [NiFe]-hydrogenase, paving the way for chemical reconstitution of this biocatalyst.

Understanding how drugs bind to their target is very helpful for drug development. UniSysCat researchers Sohraby and Nunes Alves reviewed the latest computational methods for predicting the kinetics of binding mechanisms.

UniSysCat researchers reveal a unique mechanism by which an NAD+-reducing [NiFe] hydrogenase becomes more oxygen tolerant, which is of interest for hydrogen energy strategies and regenerating nucleotide cofactors.

Neuroscientists are looking for accurate sensors to image nerve signals in tissue, particularly the brain. UniSysCat researchers now shed light on the voltage-sensing mechanism of the fluorescence of microbial rhodopsins.

From brain research to dark matter - five new episodes of the podcast "exzellent erklärt" were released from November 2022 to January 2023.

UniSysCat researcher Maria Andrea Mroginski is convinced: catalysts have enormous potential in the fight against the climate crisis. Elena Matera asked her about her research on catalysts for sustainable energy production.

We welcome Prof. Dr. Serena DeBeer from the Max Planck Institute for Chemical Energy Conversion as a new member of our Scientific Advisory Board (SAB).

UniSysCat researcher Ariane Nunes Alves et al. describe the boost of structure-activity prediction by machine learning methods in an editorial for a virtual issue in the Journal of Chemical Information and Modeling.

UniSysCat researcher Dr. Nadia Elghobashi-Meinhardt will join University College Dublin (UCD) in January 2023 as Assistant Professor and Ad Astra Fellow. Congratulations on this career step!

The Synthesizer Podcast about the transformation of chemistry

Einzigartiges Ökystem für grüne Chemie in Berlin

Video: Being a researcher

Energie-Zeitenwende: Video with Youtuber Tom Bötticher

Consortium

Unifying Systems in Catalysis (UniSysCat) is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2008– 390540038