Gervasio's Research Group (Protein Dynamics) (@gervasiolab) 's Twitter Profile
Gervasio's Research Group (Protein Dynamics)

@gervasiolab

Prof F.L. Gervasio's lab at UCL and Uni Geneva. Follow us for the latest #compchem and, #DrugDiscovery updates from the lab. @gervasiolab.bsky.social

ID: 1110152991884148736

linkhttp://www.gervasiolab.com calendar_today25-03-2019 12:14:33

377 Tweet

2,2K Followers

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Patrick Bryant (@patrick18287926) 's Twitter Profile Photo

Check out my new work with Frank Noe where we answer if the structure of different protein conformations really can be predicted. nature.com/articles/s4146… Also try the Colab to see if your protein has different conformations: colab.research.google.com/github/patrick…

Dr Steven Quay (@quay_dr) 's Twitter Profile Photo

An absolutely remarkable #Covid paper from UCSF. What did they find? 1. Fibrin binds spike protein 2. Forms proinflammatory blood clots 3. Clots drive systemic thromboinflammation & brain pathology, including #LongCovid 4. NK cell loss is seen & explains increase in #cancer

An absolutely remarkable #Covid paper from UCSF.

What did they find?

1. Fibrin binds spike protein
2. Forms proinflammatory blood clots
3. Clots drive systemic thromboinflammation & brain pathology, including #LongCovid  
4. NK cell loss is seen & explains increase in #cancer
Thorben Fröhlking (@tfroehlking) 's Twitter Profile Photo

Excited to see our work on accelerating DeepLNE++ published in The Journal of Chemical Physics at doi.org/10.1063/5.0226… The updated link for tutorials: github.com/ThorbenF/DeepL… Many thanks to Valerio Rizzi, Simone Aureli, and the entire Gervasio's Research Group (Protein Dynamics). Summary below: x.com/TFroehlking/st…

Anthony Gitter (@anthonygitter) 's Twitter Profile Photo

Our commentary "A renewed call for open artificial intelligence in biomedicine" is now available as a preprint. We call for sharing training data, code, and model weights in biomedical artificial intelligence research. 1/

Our commentary "A renewed call for open artificial intelligence in biomedicine" is now available as a preprint.

We call for sharing training data, code, and model weights in biomedical artificial intelligence research. 1/
Alberto Borsatto (@albertobors) 's Twitter Profile Photo

Looking for an accurate and transferable strategy to calculate protein-ligand absolute binding free energies? Check out our latest paper now published in The Journal of Physical Chemistry with Maurice Karrenbrock Valerio Rizzi Dom Simone Aureli Gervasio's Research Group (Protein Dynamics) doi.org/10.1021/acs.jp… 1/🧵

Yann LeCun (@ylecun) 's Twitter Profile Photo

I said that reaching Human-Level AI "will take several years if not a decade." Sam Altman says "several thousand days" which is at least 2000 days (6 years) or perhaps 3000 days (9 years). So we're not in disagreement. But I think the distribution has a long tail: it could take

nature (@nature) 's Twitter Profile Photo

Much of the success of breakthroughs, such as AlphaFold, is thanks to a database of protein structures dreamed up in the 1960s by Helen Berman go.nature.com/4hp4UCP

Université de Genève (@unigenews) 's Twitter Profile Photo

Valentin Miéville is one of the 2024 winners of the "#PhD Booster" programme launched by the Faculty of Medicine, which aims to promote young talent in #biomedical #research. His research "Small organs, great outcome: organoids against kidney cancer" youtu.be/DwFx5W7IonM

Institute for Protein Design (@uwproteindesign) 's Twitter Profile Photo

🔴 LIVE in 25 minutes: Computational Protein Design Then & Now (1988-2024) A free one-hour webinar featuring: David Baker (UW) Steve Mayo (Caltech) Bill DeGrado (UCSF) Brian Kuhlman (UNC) youtube.com/live/BuJGTn7Oh…

PLUMED (@plumed_org) 's Twitter Profile Photo

An initiative coordinated by Gareth Tribello, Max Bonomi, Giovanni Bussi, Carlo Camilloni, and with fundamental contributions from our community. 𝕏 handles in 🧵:

Zoe Cournia (@zoecournia) 's Twitter Profile Photo

Happy New Year tweeps! A new review article in collaboration with Pande's lab at Johnson & Johnson and Gervasio's Research Group (Protein Dynamics) at Université de Genève on "Computational advances in discovering cryptic pockets for drug discovery" is now live Current Opinion/Research in Structural Biology Elsevier sciencedirect.com/science/articl…

Marco De Vivo (@devivo_marco) 's Twitter Profile Photo

Our contribution in #JACS: deep-learning-guided simulations to detect the molecular mechanism for DNA translocation during nucleic acid polymerization. We loved it ! 😊 Congrats to co-authors! Take a look please ! In collab with Parrinello Group pubs.acs.org/doi/10.1021/ja…