Vivian Pogenberg

Structural biologist at Universitätsklinikum Hamburg-Eppendorf (@UKEHamburg) | @CssbHamburg | @EMBL (@EMBLHamburg) alumnus

[Vivian Pogenberg @VPogenberg]

📽️The mechanism of de-phosphocholination of Rab1b by Lem3 summarized in one minute. #SciComm

[Vivian Pogenberg @VPogenberg]

So proud I managed to sneak in the video celebrating the EMBL 50th anniversary (50s 😉). Happy anniversary EMBL and EMBLers🎉! #EMBL50

[EMBL @embl]

On this day, 50 years ago, EMBL was established!

Today, we celebrate five decades of EMBL, fuelled by infinite curiosity. EMBL turns 50, and we’d like to extend a huge thank you to everyone who contributed to reaching this milestone!

#EMBL50

[nature @Nature]

The latest version of AlphaFold models how proteins interact with other molecules — but DeepMind restricts access to the tool https://t.co/xlrmkb7f1K

[nature @Nature]

Nature research paper: Accurate structure prediction of biomolecular interactions with AlphaFold 3 https://t.co/DSiVy692T6

[EMBL @embl]

Happy New Year!

For EMBL, 2024 is an important milestone: our 50th anniversary!

This year we’ll share stories from our past, and, importantly, report on our work that advances life sciences & continues to push the frontiers of molecular biology.

Join us in celebrating #EMBL50!

[Vivian Pogenberg @VPogenberg]

@Joana_MPereira @pedrobeltrao @thesteinegger @Nature @biozentrum @UniBasel @ISBSIB @SWISS_MODEL Congrats Joana, it is amazing!

[Joana Pereira @Joana_MPereira]

So happy to see our work going live together with that of @pedrobeltrao and @thesteinegger today @nature! @biozentrum @UniBasel @ISBSIB @SWISS_MODEL
link: https://t.co/nyXCNgxAHg
link: https://t.co/X0j3HaC1Z6

[Nature Portfolio @NaturePortfolio]

A paper in @Nature describes a highly accurate deep-learning approach for designing novel proteins. The method enables the generation of diverse functional proteins, including structural topologies that have never been seen in natural proteins. https://t.co/gyoqhjyUB8

[Rappsilber laboratory @RappsilberLab]

In collaboration with the @rbolab, we are pleased to present AlphaLink2 - a modified version of AlphaFold-Multimer that is capable of directly incorporating experimental residue-residue contact data from crosslinking MS (and potentially other techniques as well). (1/7)

[Kresten Lindorff-Larsen @LindorffLarsen]

CALVADOS is on Colab. Run a coarse-grained simulation of your favourite IDR in 5–30 mins (depending on length of protein and simulation) using just sequence and conditions as input.

https://t.co/o6zfi6hXXx

[Vivian Pogenberg @VPogenberg]

@KaspersMarietta @NatureComms @AymeltItzen 📽️We propose the following mechanism: de-phosphocholination of the small G-protein Rab1b by the legionella effector Lem3. #SciComm

[Marietta Kaspers @KaspersMarietta]

Excited to announce our latest publication (https://t.co/1ICP2h6clC) in @NatureComms! 📢 Discoveries await for Legionella effector, PPM #phosphatase, #PTM, and small G-protein enthusiasts. @AymeltItzen, @VPogenberg

[Vivian Pogenberg @VPogenberg]

📽️The mechanism of de-phosphocholination of Rab1b by Lem3 summarized in one minute. #SciComm

[Vivian Pogenberg @VPogenberg]

Have you ever heard of #phosphocholination? Here, we show how the #Legionella effector Lem3 removes this PTM from the human protein Rab1b. Our data also clarify the mode of action of metal-dependent protein #phosphatases. @KaspersMarietta @AymeltItzen https://t.co/BiQKpd47jt

[Vivian Pogenberg @VPogenberg]

@SPC_EMBL_HH @EMBLHamburg Many thanks Maria and all the @SPC_EMBL_HH staff, access to the facility was essential to crystallize our proteins and complexes and characterize them biophysically.

[Debnath Ghosal @DebnathGhosal]

https://t.co/8Njtmrr4u0
I started this project ~6 years ago, collected ~ 3000 tomograms of WT and mutant Legionella strains, identified a mutant that stabilised the Legionella T4SS, and collected ~500 more tomograms of this strain.

[Bojan Tunguz @tunguz]

Microsoft Research has released BioGPT, a large language model trained on biomedical research literature. The model achieves better-than-human performance on answering questions from the biomedical literature, as evaluated on PubMedQA. The code for the model has been publicly released, and the weights for the large 1.5B model are expected to be released soon as well.

Link to the paper: https://t.co/92MBKqWPZd

Link to the GitHub repo: https://t.co/baaFEsmuNF

#ArtificialIntelligence #GenerateiveAI #LLM #LLMs #AI #NLP #DeepLearning @MicrosoftResearch

[Vivian Pogenberg @VPogenberg]

@SPC_EMBL_HH @Javi_Lizaendo congrats @Javi_Lizaendo 👨‍🎓

[Vivian Pogenberg @VPogenberg]

A structural biology community assessment of AlphaFold2 applications.
https://t.co/kYaVneVEzp

[Aymelt @AymeltItzen]

PhD-positions available!
We have vakant PhD-positions for a research training group in Hamburg (Germany). Different projects on bacteria, viruses and parasites. Still time to apply. Please RT!

https://t.co/MwvJaElO1L

[bioRxiv @biorxivpreprint]

AlphaPulldown - a Python package for protein-protein interaction screens using AlphaFold-Multimer https://t.co/NZsOvuWau0 #bioRxiv