Excited to see our work published in @ScienceAdvances!. We present RBPseg, a method for structural prediction of #phage receptor-binding proteins. We applied it to diverse tail fibers and validated the predicted structures using #cryoEM. Read here:

I wonder if prophages would be considered doping in a bacterial Olympics. Fascinating paper.

RT @RafalMostowy: What determines who a phage can infect?. We tackled this question for temperate phages of Klebsiella — a bacterial pathog….

RT @rishwanth_raghu: Excited to present CryoBoltz ❄️⚡, a multiscale guidance approach for steering AlphaFold3/Boltz-1 to sample structures….

Had a fantastic time at the first Danish Viruses of Microbes meeting! Great to see all the cutting-edge phage research in the Nordics. Honored to present RBPseg + the tail fiber structural atlas. Thanks for the great questions & feedback! #DKVoM25 #Phages

@ScienceAdvances @AritzRoa @CloudyKielkopf @sofos112 @NMITaylorLab @DanishVOM I have just released a new RBPseg version (v.1.1.1) with a few corrections to the merging module and some additional examples on how to run it. Special thanks to @VRajachandran for bringing this issue to my attention. If anyone finds trouble running RBPseg, please reach out!.

RT @NMITaylorLab: Exited to share that our RBPseg paper has just come out in @ScienceAdvances. Huge cograts to first author @VKleinSousa an….

RT @Patrick18287926: Our latest work is out: we designed dual GLP1R/GCGR agonists—cyclic peptides that activate both metabolic receptors, e….

@ScienceAdvances @AritzRoa @CloudyKielkopf @sofos112 @NMITaylorLab This came at a great time, as I'll be presenting it at @DanishVOM tomorrow morning. Looking forward to seeing many of you there.

@ScienceAdvances Thanks again to the co-authors @AritzRoa @CloudyKielkopf @sofos112 & @NMITaylorLab.

@ScienceAdvances You can explore the RBPseg code here:. We’ve also added a module to classify new fibers, and a validation model to help assess prediction reliability - going beyond standard AlphaFold metrics.

RT @aipulserx: How can artificial intelligence overcome the computational limitations of predicting complete bacteriophage tail fiber struc….

RT @Rooshanie: Contractile injection systems are used by bacteria as tools to survive, compete and interact with their environment, check o….

You can find the git here: and the notebook here:

I’ve been exploring interactive networks to visualize #protein structure contacts — super helpful for large viral complexes. I put everything together in a Google Colab in case it helps others too. Here’s how it looks for the phage T4 baseplate:

I'm happy to see our collaboration with @phagebioUCPH @LNdsted out on npj viruses! I had a fun time modelling T-even #phages adhesin proteins. Verifying that we can use #AF2 bias to select true binders was even cooler. Congrats to Veronika Lutz and all

RT @JamesBeanBio: Excited to announce that collaborative work between the Bostina lab (@mihnea_bostina) and PHI lab (@PeterFineran) at @ot….

RT @art_egorov: 💛LoVis4u - a visualisation tool for comparative genomics and sequencing coverage profiles is now published! .See our paper….

RT @Patrick18287926: Two weeks left to apply to the postdoc position with us: Are you passionate about AIxLab inter….

RT @DanishVOM: 🚀 Calling all early-stage researchers! Need support to attend the First Symposium of the Danish Viruses of Microbes Network….