Vendruscolo Lab
@VendruscoloLab
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An interdisciplinary lab that brings together concepts from chemistry, physics, and medicine to understand protein misfolding and self-assembly. @ChemCambridge
University of Cambridge, UK
Joined July 2021
An insider look at the exciting, day-to-day science taking place in the Vendruscolo Lab in @ChemCambridge @Cambridge_Uni 🔬🧪👀
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New research from @mvendruscolo14 @VendruscoloLab & collaborators compares the phase behavior of four α-Synuclein isoforms & finds stark differences between them in their propensities to undergo phase separation & aggregation; #Parkinsons
https://t.co/dJufc4nFeh
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🔥Very excited to see our work just published in Science Advances! https://t.co/9NroW9yB28 "Transient interactions between the fuzzy coat and the cross-β core of brain-derived Aβ42 filaments". Grateful for the collaboration with @FBrotzakis, @mvendruscolo14, @VendruscoloLab.
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It is always nicer collaborating than competing. In @BiophysJ we join the forces of @PPMC_UAB @VIB_Switch_Lab @VendruscoloLab @UniPadova & @UNI_FIRENZE #Aggregation #Predictors to study #Amyloid #Structure Lead by Fabrizio Chiti https://t.co/UsKqFRBowH
portlandpress.com
Advances in solid-state nuclear magnetic resonance (ssNMR) spectroscopy and cryogenic electron microscopy (cryoEM) have revealed the polymorphic nature of the amyloid state of proteins. Given the...
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🚨Checkout our latest work in @ScienceAdvances on characterising Ab42 Alzheimer's disease brain derived amyloid fibrils structural dynamics using #MEMMI 🖥️ and #CryoEM 🧊data. Work with @MariaMilanesi8 @mvendruscolo14 @VendruscoloLab @Cambridge_Uni @BSRC_Fleming .
🔥Very excited to see our work just published in Science Advances! https://t.co/9NroW9yB28 "Transient interactions between the fuzzy coat and the cross-β core of brain-derived Aβ42 filaments". Grateful for the collaboration with @FBrotzakis, @mvendruscolo14, @VendruscoloLab.
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Can deep learning methods trained on folded proteins effectively predict the structural ensembles of disordered proteins? @Cambridge_Uni @ChemCambridge @VendruscoloLab "AlphaFold-Metainference: Prediction of Structural Ensembles of Disordered Proteins" • A new development
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Grateful for the great turnout at my seminar at @ChemCambridge on chaperones and protein aggregation in neurodegeneration 🧠 It was great to connect, discuss research and explore new collaboration opportunities with so many of you! @KnowlesLabCamb @VendruscoloLab @TWIN2PIPSA
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A touching tribute by @CVR_Research & Colin Robinson honoring the remarkable life and contributions of Professor Sir Christopher M. Dobson, F.R.S. A visionary scientist and outstanding mentor: https://t.co/gFJeWjg3BY
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#ML4NGPtalks🎙️ How can #COSTactions like #ML4NGP drive #research and #innovation? Find out in our first talk with @mvendruscolo14 as he dives into the future of #MachineLearning in #proteinscience. Watch now! 🎬 https://t.co/PIjbrDc5RM
@COSTprogramme @VendruscoloLab
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Just on my way back from Lisbon from the @TWIN2PIPSA workshop on Bioimaging and Protein Interaction. Thanks @ClaudioGomesLab and @VendruscoloLab for inviting me to present our work on alpha-synuclein phase separation in cells!! #LLPS #synuclein #science #Parkinson
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New AI predicts how proteins behave inside cells, starting as small droplets and condensing into larger ones. This tool predicts how proteins come together using data that are extremely challenging to analyse traditionally. @PNASNews @VendruscoloLab
https://t.co/DFffsCbgUn
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Our latest paper by @Catherine_k_xu - secondary nucleation is the source of both oligomers and fibrils in Parkinson's associated a-Synuclein aggregation. Fantastic collaboration with Linse lab @SpillantiniLab and @VendruscoloLab
https://t.co/zlL6BgHoRR
nature.com
Nature Communications - The formation of protein aggregates is a hallmark of Parkinson’s disease, with small oligomeric species implicated as a major source of toxicity. In this work, Xu et...
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Very excited to share our work in @NatureComms! We show that a-synuclein oligomers and fibrils form by secondary nucleation on existing fibril surfaces
nature.com
Nature Communications - The formation of protein aggregates is a hallmark of Parkinson’s disease, with small oligomeric species implicated as a major source of toxicity. In this work, Xu et...
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Check out the latest episode (no.9) of the Phase Space Invaders podcast 🎙️ where Prof. Michele Vendruscolo talks about preventing protein misfolding, AI in drug discovery 💊 and the importance of good mentorship 🧠 Access all episodes ➡️ https://t.co/Hw1J51C51w
@VendruscoloLab
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Starting the 2nd day of #ML4NGPmeeting with an inspiring talk from @mvendruscolo14 @VendruscoloLab on #drug design for targeting disordered proteins #IDPs and inhibit #aggregation within condensates 🫧 What an amazing start👏
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The man, the myth, the legend: @StoDada just published a paper with @VendruscoloLab & @ChemCambridge colleagues demonstrating a possible therapeutic route for #Parkinsons based on the inhibition of alpha synuclein protein aggregation within condensates https://t.co/Ik9N3pc4MT
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Outcome of a great collaboration with @VendruscoloLab is now published! Well done @eaandrzejewska.
Super psyched to see this published at last! We demonstrate a novel approach to slowing alpha-synuclein aggregation in #Parkinsons. A massive thank you to the @VendruscoloLab, @KnowlesLabCamb, Caughey, Ghetti and Sormanni labs. https://t.co/fHWtkA6eXw
https://t.co/sGUPDzMUPU
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🎯Excited to share a new article about our #Twin4Promis partner, @mvendruscolo14 and his incredible team @VendruscoloLab from the @ChemCambridge ! 🌟 Learn more about their pioneering work in protein folding here:
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Press summary associated with this research:
cam.ac.uk
The researchers, from the University of Cambridge, designed and used an AI-based strategy to identify compounds that block the clumping, or aggregation, of alpha-synuclein, the protein that
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New research from @robertihorne @KnowlesLabCamb @VendruscoloLab & colleagues presents a machine learning approach to identify small molecule inhibitors of α-synuclein aggregation, a process implicated in #Parkinsons & other synucleinopathies https://t.co/n17CgiFM3A
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Now add #AI and structure-based drug discovery for screening 10X faster, 100X more potent , 1000X less cost for new potential small molecule drugs vs #Parkinson's disease https://t.co/1AR1qtNOfV
@robertihorne @Cambridge_Uni @KnowlesLabCamb @VendruscoloLab
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