Yang Lee @leetle_yang

Lab boffin de l'ordinaire @NxeraPharma formerly @MRC_LMB | Taking tips from tip boxes in the (only) correct order | #CryoEM #GPCR Cambridge, England Joined October 2019

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fajie yuan @duguyuan

10 months ago

Excited to share our AI+cryo-EM work! 🧬 🔬 Cryo-IEF: Foundation model trained on 65M particles 🤖 CryoWizard: automated structure pipeline 🎯 Making cryo-EM accessible to more labs Preprint: biorxiv.org/content/10.110… Code: github.com/westlake-repl/… #CryoEM #AI #StructuralBiology

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Xinru @Xinru71

11 months ago

Now online: We created de novo insulin receptor agonists using computational protein design! @EunheeChoi12 @XiaochenB @PreethamVi @UWproteindesign #BakerLab biorxiv.org/content/10.110…

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bioRxiv Biophysics @biorxiv_biophys

12 months ago

De novo Design of A Fusion Protein Tool for GPCR Research biorxiv.org/cgi/content/sh… #biorxiv_biophys

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Javier Garcia Nafria @JGarciaNafria

a year ago

Delighted to get this out!we describe bitopic binding mode to the dopamine 3 receptor, including a reorganization of TM1 that generates a unique site that could be exploited to develop selective molecules. Tremendous effort from @sandrarrour @angela31398 nature.com/articles/s4146…

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Anastasia Gusach @GusachAnastasia

a year ago

How to sense danger from afar? Revised and refined, our paper on the insights into smell recognition by a mammalian trace-amine receptor from Cryo-EM, modelling and functional studies is finally out! nature.com/articles/s4146…

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Tamir Gonen @gonenlab

a year ago

#cryoEM with energy filter & electron counting significantly increased resolution even for a full size protein like proteinase K. Sub-atomic resolution #MicroED rivals best reported Xray of Proteinase K but by using crystals a billionth the size. A section of the map is shown

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bioRxiv Biophysics @biorxiv_biophys

a year ago

Cryo-EM phase-plate images reveal unexpected levels of apparent specimen damage biorxiv.org/cgi/content/sh… #biorxiv_biophys

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Yoshitaka Moriwaki @Ag_smith

a year ago

🎉 New formula Coot 1.1.09 in Brewsci/bio for Linux and macOS! ℹ️ Crystallographic Object-Oriented Toolkit 🍺 brew install brewsci/bio/coot #Bioinformatics

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Oli B. Clarke @OliBClarke

a year ago

Final model for this weird detergent filament, with a helix of H-bonded water molecules at the center:

Oli B. Clarke @OliBClarke

2 years ago

Final model for this weird detergent filament, with a helix of H-bonded water molecules at the center: https://t.co/boQHYzHvIZ

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Prachee Avasthi @PracheeAC

a year ago

Obviously Deep Mind/Isomorphic have commercial interests… but they need not seek the faux legitimacy of a Nature paper absent the transparency essential for vetting. And Nature wants to abandon their policies to game their impact factor and steal cheap attention with what will…

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nature @Nature

a year ago

The latest version of AlphaFold models how proteins interact with other molecules — but DeepMind restricts access to the tool go.nature.com/4dsMcYP

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Martin Pacesa @MartinPacesa

a year ago

Although it is a very exciting development, it is sad to see that no code will be released, which would not be allowed for academic institutions @Nature. It was clear that weights will not be released (despite being trained purely on public data) but this I did not expect.

Max Jaderberg @maxjaderberg

a year ago

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Ramon Guixà-González @ramonguixxa

a year ago

@zenbrainest @KYoojoong @rgumpper @RothLabUNC Great work, beautiful structures, and very nice findings, congrats! I also invite everybody to check how this orthosteric invasion of a GPCR by cholesterol was already described some years ago, and suggested being feasible in other GPCRs 😉 nature.com/articles/ncomm…

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Oli B. Clarke @OliBClarke

a year ago

Excited to read this from @yuntaoinnit in the @zhou_lab - saw Hong present it at last year's 3DEM GRC and have been waiting to try it out, look forward to trying spIsoNet on our own data soon! 🤩 biorxiv.org/content/10.110…

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Gabriele Kockelkoren @Gabriele_K8

2 years ago

Excited to share our latest pre-print! We map GPCR activation probability at the plasma membrane of live cells. Strikingly, we see ultra-long-lived (~5 min) nanodomains of high activation probability, while most receptors remain inactive. Interested? 🧵shorturl.at/fkoBV

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Abhisek Mondal @AbhisekMandal

2 years ago

@alexjamesnoble What about the issue with multiple glow discharge induced damage on recycled grids ?

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Guenter Resch @Nexperion

2 years ago

#SerialEM 4.1 released as stable tonight, highlights include autocontouring of grid squares, hole finding on gold grids with a hex array of holes, saving of shifts from Shift to Marker, 118 new script commands, ... thank you for the tireless work, #stdavidmastronarde! 🤩

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Max Jaderberg @maxjaderberg

2 years ago

The latest model can predict 3D structures for complexes that include proteins, ligands, nucleic acids, ions, and modified residues. We report results across molecule-type benchmarks showing SOTA performance for protein-ligand, protein-RNA/DNA, protein-protein interfaces 2/n

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Max Bonomi @BonomiMax

2 years ago

Our EMMIVox approach for accurate model and ensemble refinement using #cryoEM maps and Bayesian inference is out in @biorxivpreprint Work led by Samuel Hoff @institutpasteur @DBSC_IP with contributions from @EmilThomasen and @LindorffLarsen biorxiv.org/content/10.110…

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Bjorn Forsberg @bforsb

2 years ago

Me, @proteincapsid and @AlisterBurt made a tool to estimate composition in cryo-EM maps. Here for instance, one ribosome subunit is clearly lower occupancy. It's not a complicated tool, but then again it's only the start.