Rohith Krishna @r_krishna3
@UWproteindesign Joined August 2013-
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Excited for the next generation of enzyme design from minimal atomic motifs. Congrats @woodyahern, @json_yim and Doug Tischer!
Excited for the next generation of enzyme design from minimal atomic motifs. Congrats @woodyahern, @json_yim and Doug Tischer!
Great to finally have this available for people 🙌 Thank you to everyone involved, especially @nscorley & @r_krishna3! We'll be pushing a few smaller updates in the coming days to enhance usability for everyone (including some docs on what you can do with it) - so stay tuned (:
Great to finally have this available for people 🙌 Thank you to everyone involved, especially @nscorley & @r_krishna3! We'll be pushing a few smaller updates in the coming days to enhance usability for everyone (including some docs on what you can do with it) - so stay tuned (:
Excited to see this out! congrats @DaveJuergens and team :)
Excited to see this out! congrats @DaveJuergens and team :)
RFdiffusion => generative binder design. RFdiffusion2 => generative enzyme design. It's rare to find scientists with deep knowledge in chemistry, machine learning, and software engineering like Woody. The complexity of enzymes matches the complexity of his skills. Check out RFD2
RFdiffusion => generative binder design. RFdiffusion2 => generative enzyme design. It's rare to find scientists with deep knowledge in chemistry, machine learning, and software engineering like Woody. The complexity of enzymes matches the complexity of his skills. Check out RFD2
Congrats Joe and team!
Anna and Sam figured out subtle geometric details of serine hydrolase active sites, and then figured out how make new proteins which fold up to reconstruct those active sites with sub-angstrom accuracy and catalyze ester hydrolysis. They are absolutely savage and inspiring.
Anna and Sam figured out subtle geometric details of serine hydrolase active sites, and then figured out how make new proteins which fold up to reconstruct those active sites with sub-angstrom accuracy and catalyze ester hydrolysis. They are absolutely savage and inspiring.
How can a single cell learn without a brain or nervous system? We explore this in my new preprint with @WallaceUcsf! We discovered that central features of learning in single cells can be accounted for by a model based on receptor inactivation bit.ly/3CDukfS 🧵 1/n
🧵(1/7) Excited to share that our work, EquiformerV2, has been accepted to #ICLR2024. EquiformerV2 is the state-of-the-art on large-scale atomistic benchmarks -- OC20, OC22, AdsorbML, and ODAC23. Joint work with @bwood_m, @abhshkdz from @OpenCatalyst and @tesssmidt Paper:…
Our work on modeling and designing biomolecular assemblies is now in @ScienceMagazine. science.org/doi/10.1126/sc… RFAA Code: github.com/baker-laborato… RFdiffusionAA Code: github.com/baker-laborato…
🎉 Excited to share that our paper "De novo design of high-affinity binders of bioactive helical peptides" is officially out! nature.com/articles/s4158… Hats off to coauthors @definitelyphil and @PreethamVi for making this project a reality. 🙌 Grateful for their collaboration!
Excited to share a new preprint we just released on the de novo design of allosterically controllable protein assemblies biorxiv.org/content/10.110…
RFdiffusionAA generating a small molecule binding protein against an experimental FXIa inhibitor (OQO), a ligand which is significantly different than any in its training dataset.
RFdiffusionAA generating a small molecule binding protein against an experimental FXIa inhibitor (OQO), a ligand which is significantly different than any in its training dataset. https://t.co/JyHKu2Jylf
RoseTTAFold updated to be All-Atom... biological assemblies containing proteins, nucleic acids, small molecules, metals, and covalent modifications ... and diffusion🤯biorxiv.org/content/10.110…
Sharing an early preprint of my Microsoft AI4Science summer internship project. We developed SE(3) flow matching for protein backbone generation. Compared to SE(3) diffusion, we find our method achieves higher designability, faster sampling, with a way simpler implementation. 1/8
ZincG @MNgzgzgz
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Alex Abrudan @Alex__Abrudan
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Devendra Chundawat @DevendraChunda1
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Jianmin Wang(王建�... @Jianmin4drugai
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Zhuoqi Zheng @Zhuoqi_Zheng
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Sanjay Srivatsan @SRsrivatsan
2K Followers 3K Following Assistant Professor at @fredhutch. Previously, @UWproteindesign, @uwgenome, and @NIAIDNews. Building sequencing tools to explore biology.
Kieran Didi @DidiKieran
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Simon Mathis @SimMat20
985 Followers 1K Following PhD @Cambridge_Uni | AI in protein design & engineering | biotech & environmental applications | enzymes | geometric DL | prev. @ETH_physics
Jason Yim @json_yim
2K Followers 322 Following PhD student @MIT_CSAIL. Generative models, protein design. 🦋 Bluesky handle: https://t.co/MPlEjog02q On X until the exodus is complete.
Karsten Kreis @karsten_kreis
3K Followers 675 Following Principal Research Scientist at @NVIDIA | Former Physicist | Deep Generative Learning | Flows and Diffusion | Proteins and Molecules Opinions are my own.
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Lukas Milles @LFMilles
906 Followers 342 Following Starting a lab at @mpi_biochem and @GeneCenter_LMU summer 2024 with the Emmy Noether Programme, former postdoc @UWproteindesign
Han Altae-Tran @altaetran
706 Followers 75 Following Fascinated by all things science. Protein designer (aka postdoc) at UW | PhD BE, MIT | MS EE, BS Math, Physics, Stanford
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Sergey Ovchinnikov @sokrypton
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Susan Kleinfelter she... @SKleinfelter1
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Thomas Schlichthaerle @schlichthaerle
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David Juergens @DaveJuergens
3K Followers 2K Following Machine learning for molecular design. Currently: Postdoc @StanfordUChem @mtzlab. PhD @UWMolES @UWproteindesign. B.S. @UWChemE
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Shingo Honda (本田 ... @akg_entrance
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