News Archive

(CANCELLED) Mar 03 - Oberseminar: This is only a test

Our latest publication from Dagmar Ilzhöfer and Michael Heinzinger: SETH predicts nuances of residue disorder from protein embeddings

SETH predicts nuances of residue disorder from protein embeddings

https://doi.org/10.3389/fbinf.2022.1019597

New publication with Christine Orengo´s lab, Michael Heinzinger and Maria Littmann

Contrastive learning on protein embeddings enlightens midnight zone

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188115/

Check out our latest publication by Michael Bernhofer

TMbed: transmembrane proteins predicted through language model embeddings.

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-022-04873-x

New publication by Dagmar Ilzhöfer and Michael Heinzinger

SETH predicts nuances of residue disorder from protein embeddings Congratulations to Dagmar and Michael for their latest publication! https://www.biorxiv.org/content/10.1101/2022.06.23.497276v1

NEW publication by Michael Bernhofer

TMbed – Transmembrane proteins predicted through Language Model embeddings - Check out the pre-print on: https://www.biorxiv.org/content/10.1101/2022.06.12.495804v1

We interviewd for Nature Methods: Method of the Year: protein structure prediction

https://www.nature.com/articles/s41592-021-01359-1

Check out this podcast with Prof. Rost and some of our lab members

https://protocolsmethods.springernature.com/posts/podcast-predicting-pro...

New publication by our lab member Michael Heinzinger" The identification of microplastics based on vibrational spectroscopy data – A critical review of data analysis routines"

https://www.sciencedirect.com/science/article/pii/S0165993622000188?dgcid=author

New press release: The proteins of Covid-19. Machine learning assisted structure analysis reveals SARS-CoV-2 virus tactics

https://www.tum.de/en/about-tum/news/press-releases/details/36913

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