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In the not too distant future I hope it's possible to do fully automated analysis of even the most complicated NMR experiments. I think #DeepLearning will be a big part of this. Here's our (D. Flemming Hansen) contribution to this effort. #NMRchat doi.org/10.26434/chemr…

I have a PhD position available in my group Oxford Biology to understand protein import mechanisms in chloroplasts using structural tools. Funded by @RoyalSociety and Oxford BBSRC DTP. The deadline is 7th January 2022. Contact me for more details plants.ox.ac.uk/dphil-projects… Please retweet!

You can just click a few mouse buttons to use Gogs 's DL-based approaches in the latest #POKY. poky.clas.ucdenver.edu #NMRchat

Many thanks to Andy Byrd @NCIResearchCtr and his team for their Magnetic Resonance Letters highlight of our recent J. Am. Chem. Soc. paper lead by Gogs on #DeepLearning and #NMRchat UCL Faculty of Life Sciences Networks available at: github.com/gogulan-k/FID-… doi.org/10.1016/j.mrl.…

1/7 Ever wondered if there is more to the AlphaFold2 predictions of IDRs than spaghetti 🍝? Isn’t AF2 another disorder predictor? Or has it learned something more subtle and interesting hidden within IDR sequences? To find out, read our new preprint biorxiv.org/content/10.110… 🧵

Ray Freeman 6.1.1932-1.5.2022 The Groupement AMPERE mourns the passing away of Ray Freeman, another great pioneer of NMR. We offer our condolences to his family in Cambridge and his colleagues all over the world.

Are you interested in #NMRchat and CEST, but do you find the analysis tedious? Our new method uses DNNs for autonomous analysis of the challenging 1HN-CEST data and it predicts both chemical shifts and uncertainties👇 doi.org/10.1007/s10858… UCL Faculty of Life Sciences Kay Lab Gogs

Are you passionate about #AI, #DeepLearning and/or slightly geeky NMR? I will soon have a postdoc position available to develop #NMRchat and #AI together to create cool methods to characterise everything from BIG proteins to small molecules. DM if you are interested. Please RT.

Need to drug an intrinsically disordered protein (#IDP)? Why not try 19F #NMR transverse spin-relaxation? Check out our most recent work, now on bioRxiv. D. Flemming Hansen vaibhav shukla Angelo M Figueiredo #NMRchat 🍝 💊 🧲 A 🧵👇🏽: (1/14) biorxiv.org/content/10.110…

Our #NMRchat DNNs are now able to transform crowded HSQC spectra of large proteins (<350 kDa) into spectra akin to Methyl-TROSY (methyl-TROSY-fication). Read the full story on bioRxiv: doi.org/10.1101/2023.0… Engineering and Physical Sciences Research Council #DeepLearning UCL Faculty of Life Sciences Gogs vaibhav shukla

A bright future lies ahead for #NMR ! vaibhav shukla Gabi Heller and I have written a review about NMR in the era of AI. Maybe we are biased - but we think that a combination of AI and NMR will further revolutionise structural biology doi.org/10.1016/j.str.… UCL Faculty of Life Sciences

Happy to share FID-Net-2 to transform complex #NMR data👇 Using dedicated pulse sequences FID-Net-2 generates high-quality quantitative aromatic 13C-1H maps and accurate uncertainties for the transform. biorxiv.org/content/10.110… Gogs vaibhav shukla The Francis Crick Institute UCL Faculty of Life Sciences

Happy to share our DNNs to transform crowded methyl HSQC spectra of large proteins into spectra akin to Methyl-TROSY is out in Nature Communications Scripts & weights available on GitHub / Zenodo. #NMRChat Gogs vaibhav shukla UCL Faculty of Life Sciences The Francis Crick Institute rdcu.be/dKJGq

D. Flemming Hansen, Gogs and co-authors based The Francis Crick Institute and UCL Faculty of Life Sciences show deep neural networks can be trained to transform crowded NMR spectra of large proteins into readily interpretable spectra. #NMRChat, #DeepLearning nature.com/articles/s4146…

Delighted to be a part of this work demonstrating combined NMR pulse sequence design with deep neural network analysis to achieve high resolution spectra of aromatic side chains. D. Flemming Hansen vaibhav shukla Paper: science.org/doi/10.1126/sc… Code: github.com/gogulan-k/FID-…

We’re thrilled to announce the launch of Bind Research, the UK’s first not-for-profit Focused Research Organisation, with long-term support from the Department for Science, Innovation and Technology’s Research Ventures Catalyst Programme, industry, and charities.

I’m delighted to share that Thomas Löhr, Gogs, and I are launching Bind Research, a UK-based not-for-profit research startup to deliver publicly–available tools and datasets to make intrinsically disordered proteins druggable. 🍝 💊🧲 💻 🦠

Really excited to see Bind Research come to fruition! This is exactly what the IDP drug discovery field needs! Congrats to Gabi Heller, Thomas Löhr and Gogs! Hope to work with you all on this project soon!