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  • Getting Started
  • Web App
  • Python API
  • REST API
  • Walkthroughs
  • Resources
  • Log in
  • Contact
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Section Navigation

  • Installation
  • Session management
  • Jobs System
  • Property Regression Models
    • Uploading data
    • Training models
    • Designing sequences
    • Predicting sequences
    • Single site analysis
  • PoET
    • Creating an MSA
    • Creating a prompt
    • Scoring sequences
    • Single site analysis
    • Generating sequences
  • Foundation Models
    • SVD and embeddings
    • Model metadata
    • Logits
    • Basic inference endpoints
    • Attention maps
  • Structure Prediction
    • Examining structure prediction models
    • Using ESMFold
    • Using AlphaFold2
    • Using Boltz
    • Using RosettaFold-3
  • Structure Generation
    • Using RFdiffusion
    • Using BoltzGen
  • API Reference
    • openprotein.APISession
    • openprotein.data
    • openprotein.jobs
    • openprotein.align
    • openprotein.prompt
    • openprotein.embeddings
    • openprotein.svd
    • openprotein.umap
    • openprotein.predictor
    • openprotein.design
    • openprotein.fold
    • openprotein.models
  • Python API documentation
  • Structure Generation

Structure Generation#

Our platform provides access to the RFdiffusion model (Watson et al., 2023). This model provides structure generation capabilities using diffusion, which can be used for workflows like de novo binder design.

Get started using Structure Generation#

Tutorials:

  • Using RFdiffusion (API Reference)

  • Using BoltzGen (API Reference)

On this page
  • Get started using Structure Generation

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