# Ligo-Biosciences/AlphaFold3

Open source implementation of AlphaFold3

Repository: https://github.com/Ligo-Biosciences/AlphaFold3
Canonical: https://ross.abutalabs.com/products/ligo-biosciences-alphafold3
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-10-07T02:08:29+00:00

## Health v2 (maintenance only)
Score: 27/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 73
- inputs: {"age_days": 1026, "days_push": 696, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1091, forks 94 (observed 2026-08-28T04:03:32.985136+00:00)

## What it is
An open-source Python implementation of AlphaFold3, DeepMind's biomolecular structure prediction model, including the full model architecture and training code. It currently supports single-chain protein prediction, with ligand, multimer, and nucleic acid capabilities planned.

## Use cases
- predict protein 3D structure from sequence
- train AlphaFold3 model on own protein data
- research open-source biomolecular folding
- extend structure prediction to ligands and nucleic acids
- reproduce AlphaFold3 training dynamics

## When to choose
- you need a freely licensed, modifiable AlphaFold3 implementation for research
- you want to train or fine-tune structure prediction models on your own GPU cluster
- you want to contribute to or build on open protein-folding tooling

## When to avoid
- you need production-ready, accurate predictions of full complexes with ligands today
- you lack multi-GPU (A100-class) hardware for training or inference
- you want a polished tool with stable releases and support

## Facets
- artifact type: library
- maturity: experimental
- function: machine-learning, deep-learning, llm-training
- domain: bioinformatics, machine-learning, deep-learning
- platform: python
- tags: alphafold3, protein-structure-prediction, structural-biology, pytorch, open-science, biotech, gpu, linux

## Member repositories
- Ligo-Biosciences/AlphaFold3 (main) score 27

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:32.985136+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:49:05.591782+00:00, confidence not recorded.
  - readme: https://github.com/Ligo-Biosciences/AlphaFold3 (fetched 2026-08-28T04:03:32.985136+00:00, sha d14e22369359)
- Data as of 2026-08-30T08:39:29.467469+00:00.