Luigi Scietti (@luigi_scietti) 's Twitter Profile
Luigi Scietti

@luigi_scietti

Coordinator of the Biochemistry and Structural biology unit @IEOufficiale | @Fornerislab @DBB_unipv @Unipv and @GSK @gsk_it alumnus | views are my own

ID: 1400576235907031045

linkhttps://tinyurl.com/BSUnit calendar_today03-06-2021 22:16:15

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Janine Brunner (@janinebrunner2) 's Twitter Profile Photo

Structures of mammalian membrane proteins from a single cell culture dish! It is a great pleasure to share our latest collaborative work with the @RouslanEfremov lab biorxiv.org/content/10.110… #cryoEM #MembraneProteins #Microfluidics

Structures of mammalian membrane proteins from a single cell culture dish! 

It is a great pleasure to share our latest collaborative work with the @RouslanEfremov lab

biorxiv.org/content/10.110…

#cryoEM  #MembraneProteins  #Microfluidics
Jacob Stern (@jacobastern) 's Twitter Profile Photo

This is the most important open source structural biology model release since AF3. Huge props to the Baker lab for open sourcing end-to-end antibody design github.com/RosettaCommons…

ChimeraX (bsky: chimerax.ucsf.edu) (@ucsfchimerax) 's Twitter Profile Photo

The ChimeraX 1.10 release candidate and daily builds can predict small complexes of proteins, nucleic acids and small molecules using Boltz on your Mac, Windows or Linux computer. rbvi.ucsf.edu/chimerax/data/…

Ellen Zhong (@zhongingalong) 's Twitter Profile Photo

🎉New preprint!🎉 Extremely excited to share CryoBoltz❄️⚡️, led by superstar Rishwanth Raghu! We develop a multiscale guidance recipe to steer structure prediction models (e.g. AlphaFold3 / Boltz-1) towards experimental cryo-EM density maps, including heterogeneous,

Misha Kudryashev 🔬 ❄🕊️ (@mishakudryashev) 's Twitter Profile Photo

Building atomic models to cryo-EM maps of huge molecules is intimidating: crowded, uncertain copy numbers, variable resolution ... Fan Liu lab and team show how cross-linking MS can be used to build novel models of unknown complexes, like a giant virus❄️ ❄️biorxiv.org/content/10.110…

Building atomic models to cryo-EM maps of huge molecules is intimidating: crowded, uncertain copy numbers, variable resolution ...

<a href="/theliulab/">Fan Liu lab</a> and team show how cross-linking MS can be used to build novel models of unknown complexes, like a giant virus❄️ ❄️biorxiv.org/content/10.110…
Science Magazine (@sciencemagazine) 's Twitter Profile Photo

Researchers have developed a #DeepLearning system called BioEmu that rapidly generates diverse protein conformations, enabling fast, accurate insights into protein flexibility and function. Learn more this week in Science: scim.ag/41rCpxZ

Oli B. Clarke (@olibclarke) 's Twitter Profile Photo

New preprint - basically we noticed that by applying ab initio (SDG) at high res in CS, using a very small step size, we could crack some small proteins we hadn't been able to solve before. Read the preprint or head over to bluesky for a longer thread! biorxiv.org/content/10.110…

NVIDIA Healthcare (@nvidiahealth) 's Twitter Profile Photo

🔬 Fold proteomes privately, no queues, no bottlenecks Bring protein structure prediction to your desktop. Powered by the GB10 Grace Blackwell Superchip, our new NVIDIA DGX Spark will deliver: ⚡ 1 petaFLOP of AI performance 🧠 128 GB coherent unified system memory It’s more

Ulrich Hohmann (@hohmannulrich) 's Twitter Profile Photo

How are RNAs sorted for export vs. degradation in the nucleus? In collaboration with Torben Heick Jensen’s lab we (Plaschka Lab and Julius Brennecke’s lab) discovered a direct mechanistic link between the export and decay machineries: biorxiv.org/content/10.110… (1/x)

Patrick Collison (@patrickc) 's Twitter Profile Photo

Over the past week, Arc Institute published three new discoveries that I’m very proud of. • The world's first functional AI-generated genomes. Using Evo 2 (the largest biology ML model ever trained, which Arc released in partnership with NVIDIA in February), Arc scientists

Martin Pacesa (@martinpacesa) 's Twitter Profile Photo

Amazing open resource for diverse binder kinetics! We released a lot of our BindCraft binders that were not tested experimentally in the original study! Releasing consistent data like this will help the community to grow!