Frauke Graeter
@graeter_mbm
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Joined November 2020
Protein design is one of my new favorites :-) thanks to our best friends, #proteins, and to the fun team behind this👇
Super excited to announce our #neurips2024 paper, "Generating Highly Designable Proteins with Geometric Algebra Flow Matching". Amazing cooperation with Simon Wagner, @LeifSeute, Seva Viliuga @_ncyxx, Nicolas Wolf, and Frauke Graeter @graeter_mbm
https://t.co/4aoaN1nWnJ
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Finally, out in @ScienceMagazine today, our work on de novo protein design. Together with @HattoriLab , @sokrypton & @hendrik_dietz we showed how we can drastically improve AF2 based hallucination, surpassing, or reaching SOTA diffusion models https://t.co/VSbKR3JQLS
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🎉🙏Congratulations and many thanks to Frauke @graeter_mbm and Benedikt @benerenne for the exellent #collaboration! 🔍New #collagen study published in @PhysRevE
journals.aps.org
Collagen, the most abundant protein in the human body, must withstand high mechanical loads due to its structural role in tendons, skin, bones, and other connective tissue. It was recently found that...
Why connecting helices twice if only one connection carries all the force? #collagen's next surprise. Lead by @benerenne, great fun to collaborate with your Doktorvater @CompBioPhys! @mattertolife @HITStudies @ERC_Research
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Why connecting helices twice if only one connection carries all the force? #collagen's next surprise. Lead by @benerenne, great fun to collaborate with your Doktorvater @CompBioPhys! @mattertolife @HITStudies @ERC_Research
Hidden length lets collagen buffer mechanical and chemical stress, Benedikt Rennekamp, Helmut Grubmüller, and Frauke Gräter #BiologicalPhysics @graeter_mbm @benerenne @CompBioPhys
https://t.co/9Gp0k8ht23
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@BiologyAIDaily Faster than expected😅 There's going to be an official twitter post by our team in a couple of days! Thanks for the great summary! 🤓
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🥳 Design proteins from scratch, with a good helix/sheet balance, quickly and robustly with fancy geometric algebra 🤓 that catches how proteins look like! Stellar team work by Leif, Simon, Seva @_ncyxx and Nico, wonderful @HITStudies Lab project with @JanStuehmer.
Generating Highly Designable Proteins with Geometric Algebra Flow Matching 1. This study introduces GAFL (Geometric Algebra Flow Matching), a cutting-edge generative model for protein backbone design that leverages projective geometric algebra (PGA) and Clifford Frame Attention
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And more of us! It was great to meet you all 🥰 and many many thanks to bring us all together in pretty Brno @BioExcelCoE. @PilarCossio2 @BonomiMax @CG_Martini @HummerLab
Career first! Girls night out with theoretical chem/biophysics profs in Brno!! 😍😍😍 @graeter_mbm @ppxasjsm @CecClementi @ElisaTelisa Thank you @BioExcelCoE @amjjbonvin for a wonderful conference! 🤓💕
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Career first! Girls night out with theoretical chem/biophysics profs in Brno!! 😍😍😍 @graeter_mbm @ppxasjsm @CecClementi @ElisaTelisa Thank you @BioExcelCoE @amjjbonvin for a wonderful conference! 🤓💕
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Congratulations to these laurates, but I know we are many who also send our appreciation to @buildmodels, Helen Berman & Stephen Burley today for their long time efforts on PDB - morally this is as much their achievement!
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”
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The 2024 #NobelPrize laureates in chemistry Demis Hassabis and John Jumper have successfully utilised artificial intelligence to predict the structure of almost all known proteins. In 2020, Hassabis and Jumper presented an AI model called AlphaFold2. With its help, they have
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New record: winning a poster prize after only a few months of PhD research. Congrats Denis, looking forward to more! 🥳 And thanks @P_Friederich for setting up that awesome (I heard) CZS Summer School 2024! @ERC_Research @simplaix @HITStudies
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Thanks, Leonardo, was a pleasure! The workshop was a truly impressive tour through ML for interatomic potentials, sampling and much more. Hope to see many of you soon again @mpi_polymer!
Closing our @cecamEvents in Mainz with the talk of @graeter_mbm (@mpi_polymer director), who is telling us about reactive molecular dynamics simulations aidded by machine learning! https://t.co/IZtK9WzHw5
#MachineLearning #biomolecules
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AlphaFold3 reproduced and params/code released. 🤩
Technical Report of HelixFold3 for Biomolecular Structure Prediction The PaddleHelix research team at Baidu have released their AlphaFold3 replication under an open-source noncommercial license. Performance approaches that of AlphaFold3. abs: https://t.co/PjApTK5x2J website:
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Our work on computational design of intrinsically disordered proteins is now out in Science Advances We asked whether we could use molecular simulations and ML to design disordered proteins with specified properties of conformational ensembles 🍝 https://t.co/Q9tk46v9iO
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So very happy to have you at the MPIP - looking forward to your science - and some joint scientific adventures on #redox biology, #radicals and much more! Let's get started 🚀
My first day at @mpi_polymer as a group leader. Happy to become part of the family. Thanks to Frauke Graeter @graeter_mbm for her support and trust in me. Many thanks to my mentors @STakaaki26424 @RedoxDKFZ @FedorovaLab, Juergen Arnhold and Oleg Shadyro. Stay tuned!
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📩🪄🧙♂️#jobvacancy #PhDposition #postdocposition @mpi_nat #biophysics Full job advert: https://t.co/JcDxbn28ig 🤓
mpinat.mpg.de
Interested to contribute to research addressing #Theory and Methods for Non-equilibrium Atomistic #Simulations of Complex #Biomolecules? Join the #grubmüller lab and apply for #PhD or #Postdoc positions @mpi_nat in Göttingen 🇩🇪 #Jobs #AcademicChatter 🔗 https://t.co/e1P3We7oeB
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