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oteam/rfdiffusion-complex-beta

AI model by oteam

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Pre-trained model for protein backbone generation from contig specifications and optional structural motifs. This is an UNOFFICIAL implementation of the De novo design of protein structure and function with RFdiffusion by Joseph L. Watson, et al. The OFFICIAL repository of RFdiffusion is at RosettaCommons/RFdiffusion. The team releasing RFdiffusion did not write this model card for this model so this model card has been written by the OFoldX team. RFdiffusion reverses diffusion over protein residue frames with a RoseTTAFold-style denoiser and SE(3)-equivariant structure updates. Its sampler couples Gaussian C-alpha translation diffusion with IGSO(3) rotation diffusion. Sequence, MSA, pair, template, and timestep features provide model-specific conditioning. Please refer to the Training Details section for more information on the training process. The RoseTTAFold pretraining file RFstructurepredictionweights.pt is not an RFdiffusion denoising checkpoint and cannot be converted by this converter. De novo design of protein structure and function with RFdiffusion Eisenach, Woody Ahern, Andrew…

oteam/rfdiffusion-complex-beta on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. RFdiffusion
  2. Disclaimer
  3. Model Details
  4. Variants
  5. Model Specification
  6. Links
  7. Usage
  8. Direct Use
  9. Backbone Design
  10. Training Details
  11. Training Data
  12. Training Procedure

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Model overview

oteam/rfdiffusion-complex-beta is a task-unspecified model repository published by oteam on Hugging Face. A library was not reported.

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Created
2026-10-30T06:48:15.000Z
Last modified
2026-10-30T06:48:15.000Z

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