Rohith Krishna
@r_krishna3
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RFdiffusion2 generates new enzyme structures just from the most basic descriptions of their geometry. See @woodyahern's thread to see the next generation of de novo enzyme design:.
New enzymes can unlock chemistry we never had access to before. Here, we introduce RFdiffusion2 (RFD2), a generative model that makes significant strides in de novo enzyme design. Preprint: Code: coming soon.Animation credit: (1/n)
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Excited to see this out! congrats @DaveJuergens and team :).
Late, but got it done. Inference and training code for CA RFDiffusion is available here: Please have fun. Getting this online was an adventure, to say the least.
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@woodyahern One of the best parts of science: working with insanely talented colleagues who constantly push the limits of what's possible. Big shoutout to @woodyahern and @json_yim for keeping the standard sky-high.
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RT @json_yim: RFdiffusion => generative binder design. RFdiffusion2 => generative enzyme design. It's rare to find scientists with deep kn….
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Congrats Joe and team!.
I’m excited to share our significantly-updated preprint on de novo antibody design, where we now demonstrate the structurally accurate design of scFvs (in addition to VHHs) with RFdiffusion!
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RT @DaveJuergens: Anna and Sam figured out subtle geometric details of serine hydrolase active sites, and then figured out how make new pro….
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RT @DeepaHRajan: How can a single cell learn without a brain or nervous system? We explore this in my new preprint with @WallaceUcsf! We di….
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RT @yilunliao: 🧵(1/7) Excited to share that our work, EquiformerV2, has been accepted to #ICLR2024. EquiformerV2 is the state-of-the-art on….
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Our work on modeling and designing biomolecular assemblies is now in @ScienceMagazine. RFAA Code: RFdiffusionAA Code:
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RT @SusanaVazTor: 🎉 Excited to share that our paper "De novo design of high-affinity binders of bioactive helical peptides" is officially o….
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RT @ArvindSPillai1: Excited to share a new preprint we just released on the de novo design of allosterically controllable protein assemblie….
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We are planning on releasing code & weights in the coming months (we're super committed to making it available as soon as reasonably possible)!.
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RT @woodyahern: RFdiffusionAA generating a small molecule binding protein against an experimental FXIa inhibitor (OQO), a ligand which is s….
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RT @sokrypton: RoseTTAFold updated to be All-Atom. biological assemblies containing proteins, nucleic acids, small molecules, metals, and….
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RT @json_yim: Sharing an early preprint of my Microsoft AI4Science summer internship project. We developed SE(3) flow matching for protein….
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@woodyahern @PreethamVi @ikalvet This has been an extremely exciting and collaborative project amongst many people at @UWProteinDesign including @jueseph, @woodyahern, @PascalSturmfels and many more at the UW and beyond! n/n.
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@woodyahern @PreethamVi @ikalvet @woodyahern and Felix Morey-Burrows designed and tested binders for bilins, which are molecules involved in photosynthesis. These proteins have different absorbance properties than native proteins and has potential for extending range of wavelengths captured by photosynthesis
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@woodyahern @PreethamVi @ikalvet designed a host of binders to heme with an open substrate pocket that could potentially be converted into enzymes.
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@woodyahern Using RFdiffusionAA, @PreethamVi and Gyu Rie Lee designed binders to digoxigenin, a heart disease drug with diagnostic applications. Their best binder binds tightly and is extremely stable! 6/n
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@woodyahern fine-tuned the structure prediction model to denoise backbones for protein design and created RFdiffusion All-Atom, which shows much better in silico metrics than our previous efforts to design small molecule binding proteins with RFdiffusion. 5/n
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