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De novo design of protein structure and function with RFdiffusion | Nature

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Fine-tuning the RoseTTAFold structure prediction network on protein structure denoising tasks yields a generative model for protein design that achieves outstanding performance on a wide range of protein structure and function design challenges.

Download PDF Subjects Machine learning Protein design Proteins Abstract There has been considerable recent progress in designing new proteins using deep-learning methods 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 . Despite this progress, a general deep-learning framework for protein design that enables solution of a wide range of design challenges, including de novo binder design and design of higher-order symmetric architectures, has yet to be described. Diffusion models 10 , 11 have had considerable success in image and language generative modelling but limited success when applied to protein modelli

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