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OpenFold

OpenFold is a trainable PyTorch implementation of AlphaFold 2 for protein structure inference and training.

Catalog updated ·

Overview

It supports protein structure research and model reproduction rather than general chemical property prediction. The official documentation separates installation, inference and training.

Limitations

Code uses Apache-2.0; the README identifies DeepMind pretrained parameters as CC BY 4.0. Check code, parameter and dataset terms separately.

Key Features

  • Protein structure inference
  • Trainable AlphaFold 2 implementation

Use Cases

  • Reproduce structure prediction workflows
  • Study structure-model training

How to Use

Use the official installation guide to prepare dependencies and parameters, choose inference or training, and retain the protein inputs and run configuration.