Ad

AlphaFold3: Open-source implementation

Ligo's open-source implementation of AlphaFold3 accelerates biomolecular structure prediction. We are releasing the single-chain prediction capability first.
Screenshot of Ligo-Biosciences/AlphaFold3 homepage

AlphaFold3 implements the full AlphaFold3 model and training code, furthering open-source structure prediction. We aim to accelerate progress towards a faithful, fully open implementation for the biotech community. This release focuses on single-chain prediction, with plans for ligand, multimer, and nucleic acid support.

This repository offers a practical, open-source implementation of a cutting-edge model. It leverages components from OpenFold and prioritizes speed and memory efficiency including the reuse of battle-tested modules. The project actively addresses discrepancies in the original AlphaFold3 pseudocode and fosters community input. The focus on optimized attention mechanisms like TriangularAttention contributes to performance.

  • Single Chain Prediction: Core functionality focuses on accurate single-chain protein structure prediction.
  • OpenFold Integration: Reuses efficient and well-tested components from the OpenFold project, enhancing modular design.
  • Performance Optimization: Includes optimizations for speed and memory efficiency including efficient attention implementations.
  • Active Development: An active research project with ongoing improvements and bug fixes.
  • Community Driven: Emphasizes transparency and invites community contributions to improve the implementation.
  • Documentation: Includes a README and accompanying notebooks to facilitate understanding and experimentation.
  • Beta Testing: Actively seeking beta testers to improve the implementation.

This is an active research project in its early phases, currently focused on a stable release. The repository demonstrates significant progress with a functional single-chain prediction model. However, it is not yet production-ready and involves ongoing experimentation and refinement.

This project benefits researchers and developers needing access to a powerful protein structure prediction tool. It enables exploration and experimentation with AlphaFold3 algorithms and facilitates advancements in biomolecular modeling. It offers an open and modifiable alternative to proprietary structure prediction services.

Summarize:
Share:
Stars
1,083
Forks
93
Issues
16
Created
2 years ago
Commit
1 year ago
License
APACHE-2.0
Archived
No
Updated 17 days ago

Similar Repositories