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Site Navigation

  • Getting Started
  • Web App
  • Python API
  • REST API
  • Walkthroughs
  • Resources
  • Log in
  • Contact
Ctrl+K

Section Navigation

  • Jobs System
  • Installation
  • Session management
  • 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
  • API Reference
    • openprotein.APISession
    • openprotein.data
    • openprotein.predictor
    • openprotein.design
    • openprotein.embeddings
    • openprotein.align
    • openprotein.fold
  • Python API documentation
  • Structure Prediction

Structure Prediction#

Our Python API provides access to open source models for structural prediction - including ESMFold, (Lin et al., 2023) and AlphaFold2 (Jumper et al., 2021). Use these structure prediction models to derive meaningful representations of your protein sequence.

Get started using Structure Prediction#

Tutorials:

  • Examining structure prediction models

  • Using ESMFold

  • Using AlphaFold2

API Reference

On this page
  • Get started using Structure Prediction

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