Michael Jendrusch

@mjendrusch.bsky.social

(he/him) protein design @ DKFZ. Protein ML person, mathematics & science enthusiast. developer of salad paper: https://www.nature.com/articles/s42256-025-01100-z salad: https://github.com/mjendrusch/salad flexcraft: https://github.com/mjendrusch/flexcraft

Second preprint of the year in which @sarahgersing.bsky.social from @rhp-lab.bsky.social mapped the effects of >7500 variants in glucokinase (GCK) on the interaction with the glucokinase regulatory protein so that we now have a 3D GCK scan (abundance, interaction, activity) doi.org/10.64898/202...

Figure 2 from the paper with: (A) Heatmap showing the interaction score of each possible amino acid substitution along the GCK sequence. (B) Interaction score distributions of missense, synonymous and nonsense variants.  (C) The median interaction score of each GCK residue mapped onto the structure of the GCK–GKRP complex.
Rasmus Hartmann-Petersen@rhp-lab.bsky.social · 7mo ago

New preprint! Led by @sarahgersing.bsky.social we map how 7,500+ variants in glucokinase (GCK) affect binding to GKRP and disentangle this from stability. We now have activity, abundance, and interaction scores for 7,128 GCK variants - a resource for understanding phenotypes and glucose homeostasis.

This was interesting and fun to do… seems Alphafold and the like have learnt what a Leucine zipper looks like… but not really.🤔 interesting that a fully synthetic leucine zipper that couldn’t possibly assemble looked pretty probable. 🧶🧬 doi.org/10.1002/pro....

Assessing the validity of leucine zipper constructs predicted by AlphaFold

AP-1 transcription factors are a network of cellular regulators that combine in different dimer pairs to control a range of pathways involved in differentiation, growth, and cell death. They dimerize...

doi.org

Brand new preprint from my lab, showing that TnpB, the ancestor of Cas12, acts as a gene drive in plasmids! And it turns out in conjugative plasmids that it acts as a primitive anti-self defense system, providing a potential link between its transposon effect and becoming CRISPR!

Everyone's least favorite lab mate@kepatitis-c.bsky.social · 9mo ago

What is the best strategy to win any contest? Eliminate your opponents of course. Recently, my friend @fernpizza.bsky.social showed how plasmids compete intracellularly (check out his paper published in Science today!). With @baym.lol, we now know they can fight. www.biorxiv.org/content/10.1...

Tired of knowing what you are looking for in your tomograms? Why not try bluesky-less Frosina's new self-supervised algorithm for semantic segmentation and particle picking for #teamtomo (includes a new denoiser without the need for odd/even tomos) Code is on GitHub if you want to try it out

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bioRxiv Bioinfo@biorxiv-bioinfo.bsky.social · 9mo ago

CryoSiam: self-supervised representation learning for automated analysis of cryo-electron tomograms https://www.biorxiv.org/content/10.1101/2025.11.11.687379v1

Has this idea of sampling neighbors from an inverse cubic distribution been used in protein structure GNNs at all since the idea was first presented in the Chroma paper ~3 years ago? I thought it was incredibly clever and expected it to catch on, but haven't seen it since

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Are you an early-stage graduate student (2nd or 3rd year) or early-stage postdoc based in the US or Canada, working primarily in Drosophila? Would you like to help improve the experience of all trainees working in Drosophila research? If so, read on. (Please repost to reach a broad audience.)

Can an AI tool help us better understand the origins of cancer? Researchers from EMBL's Korbel Group have developed a new AI method – MAGIC – which, through a game of molecular laser tag, is shedding light on how chromosomal abnormalities form in cells. www.embl.org/news/science...

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Is 3D dragging you down? Wish you could instead use the 2D ColabFold representation for all your work? 🤓 Introducing: py2Dmol 🧬 (feedback, suggestions, requests are welcome)

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New review on experimental datasets that can be used to benchmark protein force fields. And if that doesn’t tickle your fancy, the data can also be used to benchmark machine learning models for biomolecular structure and dynamics.

@livecomsjournal.bsky.social · 9mo ago

In the latest @livecomsjournal.bsky.social perpetual review, Cavender et al overview NMR and crystallographic experimental datasets that can be used to benchmark protein force fields, including best practices for setup and analysis of simulations!: livecomsjournal.org/index.php/li... #compchem

**Job Alert** Exciting postdoc position available: theoretical and experimental cryo-EM studies of flexible biomolecules. Competitive salary, collaborative environment at NYSBC and Flatiron Institute. Please share!! and contact: pcossio@flatironinstitute.org