RT @BaharogluZeynep
Visualizing translation dynamics at atomic detail inside a bacterial cell https://www.nature.com/articles/s41586-022-05255-2
RT @CNIOStopCancer
Mechanism discovered that helps viruses like monkeypox to block and evade our cellular defence system @NatureComms @OscarLlorcaCNIO
RT @cryoEM_Papers
RE2DC: a robust and efficient 2D classifier with visualization for processing massive and heterogeneous cryo-EM data http://biorxiv.org/cgi/content/short/2022.11.21.517443v1?rss=1
RT @Dr_Lori_Burrows
CRISPR-Cas in phages! Diverse virus-encoded CRISPR-Cas systems include streamlined genome editors https://www.cell.com/cell/fulltext/S0092-8674(22)01366-6
RT @cryoEM_Papers
OPUS-DSD: Deep Structural Disentanglement for cryo-EM Single Particle Analysis http://biorxiv.org/cgi/content/short/2022.11.22.517601v1?rss=1
RT @TerwillTom
RT @xtaldave
I think most Structural Biologists have always suspected this was the case - wonderful to see that Team Phenix have dug into to this and fleshed it all out.
"AlphaFold predictions: great hypotheses but no match for (1/2)
RT @gahdritz
Our preprint on OpenFold, our trainable reproduction of AlphaFold2, is finally up (https://biorxiv.org/cgi/content/short/2022.11.20.517210v1)! Since we open-sourced parameters in June, we've trained the model to high accuracy more than 50 times, on a variety of datasets. Here's what we learned (a lot) -> (1/19)
RT @TolarLab
Our new structure of the Fcμ receptor binding to IgM is out on @biorxivpreprint.
There are four binding sites for FcμR on each side of the IgM pentamer, explaining isotype specificity and receptor crosslinking.
Again with Peter Rosenthal @TheCrick.
https://www.biorxiv.org/content/10.1101/2022.11.18.517032v1
RT @TerwillTom
Wondering just how accurate #AlphaFold models are? Here is a handy chart!
The median error for high-confidence residues is just 0.6 Å!
Caution: 10% are off by over 2 Å.
#AlphaFold predictions are great #hypotheses
@buildmodels @PDBeurope @DeepMind
RT @GatsogiannisLab
📢New preprint: We elucidated the structure of the peroxisomal Pex1/Pex6 ATPase complex processing an endogenous substrate. Kudos @RuetterM and all co-authors. #cryoEM #peroxisome #pexophagy @WWU_Muenster #SoN https://www.biorxiv.org/content/10.1101/2022.11.19.517173v1
RT @VIKorolchuk
Our paper #Autophagy promotes cell survival by maintaining #NAD levels is not published in @Dev_Cell.
Congratulations to all the authors and a big Thanks to the Editors and Reviewers!
https://www.cell.com/developmental-cell/fulltext/S1534-5807(22)00760-2#.Y3udkvrzUCI.twitter
Also on the cover thanks to an amazing design by @HSalmonowicz!
RT @LabSkiniotis
An illustration of GPCR "signaling bias"; how distinct ligands can stabilize different mu-opioid receptor conformations affecting transducer recruitment. Great collaboration with Kobilka lab, @sushmajumdarlab @DrorLab
RT @phospho
Incredibly excited to finally share this.. We’ve charted the full life cycle of the SARS-CoV-2 coronavirus with @MaastrichtU. Follow us inside the cell and see exactly what happens during an infection https://youtu.be/k2GlafQ9YhY
RT @WChengLab
Our latest study is now published!
"Open-channel structure of a pentameric ligand-gated ion channel reveals a mechanism of leaflet-specific phospholipid modulation" https://www.nature.com/articles/s41467-022-34813-5
RT @IBC2_GU
Exciting insights in complex I assembly: A new link with #cardiolipin remodeling is now published in @ScienceAdvances by @IBC2_GU group leader Volker Zickermann & @JanetVonck from @MPIbp. https://www.science.org/doi/10.1126/sciadv.add3855#.Y3YB_1SvwFo.twitter
@CardioPhys_FFM @goetheuni @dfg_public @BMBF_Bund @maxplanckpress
RT @PiperProteins
Behind @PiperProteins is an actual scientist & that scientist publishes actual science in @NatureComms 🥳We use #CryoEM and #MD simulations to look at membrane receptors to better understand how these are activated! Stay tuned for more animations https://www.nature.com/articles/s41467-022-34629-3 (1/2)
RT @ramin_m_h
In a new article published today in Nature MI @NatMachIntell we solved a differential equation that describes the interaction of neurons and synapses! This equation had no known closed-form solution since the year 1907!
This solution is important! 1/n
https://www.csail.mit.edu/news/solving-brain-dynamics-gives-rise-flexible-machine-learning-models
RT @Dereklowe
A really interesting look at biodegraders (protein versions of targeted protein degradation) and a way to deliver them therapeutically. That's via lipid-nanoparticle formulated mRNA - you might have heard of that one. . .!
https://www.science.org/content/blog-post/biodegraders-make-their-case
Thermo Fisher Scientific | Cryo-EM