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

  • Overview
  • Installation
  • Quickstart
  • Foundation Models
    • Model metadata
    • SVD and embeddings
    • Logits
    • Attention maps
  • PoET
    • Creating an MSA
    • Creating a prompt
    • Scoring sequences
    • Single site analysis
    • Generating sequences
  • Property Regression Models
    • Uploading data
    • Training models
    • Designing sequences
    • Predicting sequences
    • Single site analysis
  • Structure Prediction
    • Examining structure prediction models
    • Using ESMFold
    • Using AlphaFold2
    • Using Boltz-1 and Boltz-2
    • Using RosettaFold-3
  • Structure Generation
    • Using RFdiffusion
    • Using BoltzGen
  • API reference
    • openprotein
    • openprotein.molecules
    • openprotein.data
    • openprotein.jobs
    • openprotein.align
    • openprotein.prompt
    • openprotein.embeddings
    • openprotein.predictor
    • openprotein.design
    • openprotein.fold
    • openprotein.models
  • Python API Documentation
  • Structure Generation

Structure Generation#

Our platform provides access to structure generation models like BoltzGen (Stark et al., 2025) and RFdiffusion (Watson et al., 2023). These models can be used for workflows like de novo binder design.

Get started using Structure Generation#

Tutorials:

  • Using RFdiffusion (RFdiffusionModel)

  • Using BoltzGen (BoltzGenModel)

On this page
  • Get started using Structure Generation

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