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figure 1 in paper

generating a protein that binds to spike protein of coronavirus - Baker lab's concurrent RFDiffusion work

Chroma - Pytorch (wip)

Implementation of Chroma, generative model of proteins using DDPM and GNNs, in Pytorch. Concurrent work seems to suggest we have a slight lift-off applying denoising diffusion probabilistic models to protein design. Will also incorporate self-conditioning, applied successfully by Baker lab in RFDiffusion.

Explanation by Stephan Heijl

If you are interested in open sourcing works like these out in the wild, please consider joining OpenBioML

Todo

Citations

@misc{
    title   = {Illuminating protein space with a programmable generative model},
    author  = {John Ingraham, Max Baranov, Zak Costello, Vincent Frappier, Ahmed Ismail, Shan Tie, Wujie Wang, Vincent Xue, Fritz Obermeyer, Andrew Beam, Gevorg Grigoryan},    
    year    = {2022},
    url     = {https://cdn.generatebiomedicines.com/assets/ingraham2022.pdf}
}

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Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch

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