Bi

Computational methods for studying amyloids and their interactions

Datum
13.06.2023
Zeit
13:00 - 14:00
Sprecher
Jakub W. Wojciechowski
Zugehörigkeit
Wroclaw University of Science and Technology
Sprache
en
Hauptthema
Biologie
Host
Agnes Toth-Petroczy
Beschreibung
Amyloids are insoluble, fibrilar protein aggregates, commonly known for their role in the development of neurodegenerative disorders. However, more recent studies show that such structures can be utilized by a variety of organisms to perform physiological functions including biofilm formation, hormone storage and signaling. Furthermore, it was shown that both functional and pathological amyloids can interact in a number of ways. Such interactions can lead to a significant increase in aggregation rates or inhibition of fibril formation. Despite the importance of amyloids, our understanding of processes governing their sefl assembly is still quite limited. The available experimental methods of studying amyloids are expensive and time-consuming. To overcome this problem several computational methods were proposed, but their capabilities are still limited. During my PhD, I developed a new method for the identification of aggregation-prone regions in proteins - PATH (Prediction of Amyloidogenicity by THreading) as well as a method for amyloid interaction predictions - PACT (Prediction of Amyloid Cross-Interactions by Threading). I also developed approaches for the identification of amyloids in proteome-wide studies. Finally, I aimed at investigating the possible interactions between functional amyloids produced by the gut microbiome and human disease-related amyloids.

Letztmalig verändert: 14.06.2023, 07:37:07

Veranstaltungsort

Max Planck Institute of Molecular Cell Biology and Genetics (CSBD SR Ground Floor)Pfotenhauerstraße10801307Dresden
Telefon
+49 351 210-0
Fax
+49 351 210-2000
E-Mail
MPI-CBG
Homepage
http://www.mpi-cbg.de

Veranstalter

Max Planck Institute of Molecular Cell Biology and GeneticsPfotenhauerstraße10801307Dresden
Telefon
+49 351 210-0
Fax
+49 351 210-2000
E-Mail
MPI-CBG
Homepage
http://www.mpi-cbg.de
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