News Archive

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

New Publication by Elnaggar and Heinzinger: ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

https://arxiv.org/abs/2007.06225

Check out our latest publication from Ahmed Elnggar and Michael Heinzinger. ProtTrans: Towards Cracking the Language of Life's Code Through...

Rostlab @ nvidia blog: Learning Life’s ABCs: AI Models Read Proteins to Fight COVID-19- Researchers are closing the accuracy gap for a new class of biology tools based on natural-language processing.

https://blogs.nvidia.com/blog/2020/07/16/ai-reads-proteins-covid/

Check out this nvidia blog entry about the work of our lab members Ahmed Elnagger and Michael Heinzinger =)

Feb 12 - Oberseminar: Claudio Benedetti Master thesis talk

Feb 12 - Oberseminar: Stefan van Rest from Remissio presents his company`s work

Jan 15 - Oberseminar: Frank Wallrapp talks about his work

Oct 09 - Oberseminar: IDP Presentation Ghalia Rehawi

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