Rasmus Hartmann-Petersen

PhD scholarship in Machine Learning for Molecules - DTU Chemistry Advance large scale data generation for chemical and biological AI in a 3 year PhD. Work on the frontier of active learning, and develop novel probabilistic machine learning techniques for experiment ...

I'm looking for my first PhD student! We will push the frontiers of probabilistic machine learning for the molecular sciences, and study how to design new algorithms that exploit the unique properties of molecular systems to learn about the world.

efzu.fa.em2.oraclecloud.com/hcmUI/Candid...

Curiosity underlies a breakthrough in rare disease We must recognise and protect the pipelines that lead from research to real-world benefit

Both translational and fundamental curiosity-driven research are needed to fuel the incredible progress we're seeing in genomic medicine; an important message in this article and and some lovely quotes from @sarahlwynn.bsky.social
www.ft.com/content/25dd...

@lindorfflarsen.bsky.social at #VariantEffect25

Comprehensive degron mapping in human transcription factors Gene expression is regulated by the targeted degradation of transcription factors through the ubiquitin-proteasome system. Transcription factors destined for degradation are recognized by E3 ubiquitin...

With the @lindorfflarsen.bsky.social group we present our map of degrons in all human transcription factors, incl. examples of constitutive degrons in exposed regions & buried degrons that are exposed upon mutation. In addition, we show that most TADs overlap with degrons. Work led by Fia Larsen.

A complete map of human cytosolic degrons and their relevance for disease Degrons are short protein segments that target proteins for degradation via the ubiquitin-proteasome system and thus ensure timely removal of signaling proteins and clearance of misfolded proteins fro...

In collaboration with the @lindorfflarsen.bsky.social group we release our map of degrons in >5,000 human cytosolic proteins with >99% coverage. A machine learning model trained on the data identifies missense variants forming degrons in exposed & disordered regions. Work led by @vvouts.bsky.social.

We are looking for a PhD student with interest in protein biochemistry on a really cool project “Cooperation of deubiquitinating enzymes and VCP/p97 in cellular stress responses”. Build your own reactions! fully funded. apply with code 193-25. #ubiquitin

... wait! There's more great Review content!
☘️ mechanisms of #SAM homeostasis (Ben Tu et al)
☘️ glucose sensing by #glucokinase and how disease variants impact its function @sarahgersing.bsky.social @lindorfflarsen.bsky.social @rhp-lab.bsky.social

Now online - the Review "#Glucokinase: from allosteric glucose sensing to disease variants" from @sarahgersing.bsky.social, Torben Hansen, @lindorfflarsen.bsky.social, and @rhp-lab.bsky.social.

#GlucoseHomeostasis #GlucoseSensor #GCKMODY #CooperativeKinetics

authors.elsevier.com/a/1kN5M3S6Gf...

Happy to share our review, 'Glucokinase: from allosteric glucose sensing to disease variants', published in @cp-trendsbiochem.bsky.social, which explores the fascinating enzyme glucokinase. authors.elsevier.com/a/1kN5M3S6Gf...

Systematic characterization of indel variants using a yeast-based protein folding sensor Larsen-Ledet et al. developed a yeast-based protein folding sensor to determine the effects of indel variants in DHFR. Using a saturated indel library, it was found that most indels are not tolerated. Several are temperature sensitive and folding is rescued by methotrexate. Rosetta and AlphaFold2 predictions correlate with the observed effects.

In our new paper we characterize the effects of indel variants on protein folding and stability using a new yeast-based protein folding sensor. The work was led by Sven Larsen-Ledet and supported by the @novo-nordisk.bsky.social.
Link to paper: www.cell.com/structure/fu...