Matteo Cagiada
@CagiadaMatteo
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🇮🇹, Computational biophysicist, Novo Nordisk Foundation Postdoc fellow at @UniofOxford / @UCPH_Research
Oxford, England
Joined August 2020
RT @LindorffLarsen: AF2χ: Predicting protein side-chain rotamer distributions with AlphaFold2
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If you want to hear more about this project, you can join me on June 26 at the next 39th Annual Symposium of The Protein Society (San Francisco), where I will present the results of this work!.
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I am happy to share that our paper "Predicting absolute protein folding stability using generative models"( has been awarded the Protein Science BEST PAPER 2024 by @ProteinSociety !.
Congratulations to the winners of the 2024 Protein Science Best Paper: Jessica Lusty Beech, from Montana State University, USA and Matteo Cagiada from the University of Copenhagen, Denmark. Protein Science - Wiley Online Library
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RT @varianteffects: 📢Join us for the first Variant Effects Seminar Series OPEN MIC session on Dec 3, 9-10am PT (5-6pm GMT+1). w/special gue….
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RT @NatComputSci: 📢Out now! Charlotte M. Deane and colleagues discuss the need for a renewed focus on data and validation for advancing the….
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RT @NobelPrize: The 2024 #NobelPrize laureates in chemistry Demis Hassabis and John Jumper have successfully utilised artificial intelligen….
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RT @NobelPrize: BREAKING NEWS.The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to….
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RT @BrotmanBaty: MARK YOUR CALENDAR: The next Variant Effects Seminar Series is Tuesday, October 1, 9 to 10 am (Pacific). @saorisakaue @har….
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RT @varianteffects: 📌🗓️Coming up on October 1st, 2024 with Saori Sakaue (@saorisakaue @broadinstitute @harvardmed Incoming Assistant Profes….
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RT @LindorffLarsen: New preprint w @TKSchulze who analysed cellular abundance (VAMP-seq) data for ~32,000 variants of six proteins . We fi….
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Thank you to everyone who has supported me along the way, especially my supervisor @LindorffLarsen, my friends and colleagues at UCPH!.
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What an amazing day at yesterday UCPH SCIENCE PhD graduation ceremony! 🎓.And I’m also humbled and excited to announce that I’ve been honored with the PhD Award of the year at SCIENCE 2024.
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RT @iScienceLuvr: Technical Report of HelixFold3 for Biomolecular Structure Prediction. The PaddleHelix research team at Baidu have release….
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RT @OPIGlets: OPIG DPhil student @GemmaLGordon led work to build and analyse "PLAbDab-nano: a database of camelid and shark nanobodies from….
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RT @alexrives: We have trained ESM3 and we're excited to introduce EvolutionaryScale. ESM3 is a generative language model for programming….
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Exciting news🤩! (code and weights are available also!).
ESM3 is out from EvolutionaryScale! 98B params (~GPT3 scale). Multimodal over sequence, structure, and function with cool design applications. Trained on variable masking ratios and decodes proteins iteratively. Some work on alignment too. Looks exciting!
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RT @LindorffLarsen: Very happy to share work led by @SoBuelow on prediction of phase separation propensities of disordered proteins from se….
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You can also see highlights of the method and results tomorrow at the Mutational Scanning Symposium! ( #VariantEffect24.
I I am happy to share the latest work from my PhD. Here (with @NicolasJonsson and @LindorffLarsen) we developed a new fast predictor (FunC-ESMs) that separates loss of function variants caused by decreased stability from variants that affect function by other means.
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