Thomas Löhr
@ThomasLhr1
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Head of Compute / Co-founder @bindresearch.org | Simulations, Drug Design, Disordered Proteins
London
Joined July 2019
RT @OdedRimon: Can you post-translationally modify a native protein in a complex mixture without affecting others?. With PEABS you can! Rea….
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RT @FBrotzakis: "Determination of the Structure and Dynamics of the Fuzzy Coat of an Amyloid Fibril of IAPP Using Cryo-Electron Microscopy"….
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RT @FBrotzakis: Metadynamics Electron Microscopy Metainference (MEMMI). A method that efficiently fits Cryo-EM map data into molecular dyn….
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RT @VendruscoloLab: Check out our new pre-print on a sequence-based predictor to determine pH dependent protein solubility .
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RT @OellerMarc: Very proud to have this work finally out! Hopefully people working on the developability of drugs find this work useful! Al….
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Have a look at our new preprint on the kinetics of the interaction of #Alzheimers Aβ peptide with small molecules! With @GoogleAI we again used long-timescale MD simulations with a soft Markov model approach:
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RT @FBrotzakis: Just published in @ChemicalScience @RoySocChem ! Our work on SARS-CoV2 Spike conformational dynamics and cryptic pocket id….
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RT @FBrotzakis: Delighted to present our work on SARS-CoV2 Spike conformational ensemble using computer simulations and CryoEM data, at th….
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RT @Cambridge_Uni: A team from @ChemCambridge and @GoogleResearch used #machinelearning to predict the movements of a protein involved in A….
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Check out our work on the kinetics of the Amyloid-β monomer, just published in @NatComputSci! With help from @GoogleAI we performed long MD simulations and analysed them using soft Markov state models:
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Check out our new preprint on @biorxiv_biophys entitled "A kinetic ensemble of the #Alzheimers Aβ peptide" in which we, together with @GoogleAI, build a soft Markov state model to characterise the disordered amyloid β peptide:
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