概览介绍
A structure-prediction model for biomolecular complexes. The inference code and model parameters have separate access and usage terms.
信息已比对权威文献或官方白皮书;非实验性跑分。 权威出处 · 最后核对: 13/09/2026, 18:02:53 UTC
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开发机构 Google DeepMind →
A structure-prediction model for biomolecular complexes. The inference code and model parameters have separate access and usage terms.
A structure-prediction model for biomolecular complexes. The inference code and model parameters have separate access and usage terms.
信息已比对权威文献或官方白皮书;非实验性跑分。 权威出处 · 最后核对: 13/09/2026, 18:02:53 UTC
Use this citation format when referencing AlphaFold 3 in scientific publications and benchmark papers.
@software{alphafold_3_2026,
title = {{AlphaFold 3}},
author = {{Google DeepMind}},
year = {2026},
url = {https://github.com/google-deepmind/alphafold3},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for AlphaFold 3.
Missing values mean the catalog has no recorded information. They do not mean a feature is absent.
Provider-tested configuration · AlphaFold 3 documentation lists a single H100 80 GB as an officially supported inference configuration. Other H100 variants are not established by this evidence.

AlphaFold 3 Official Photographic Architecture · Credit: Google DeepMind · Open original ↗
Research and editorial use Source & attribution ↗ License ↗
同一科学领域的同类算法与工具。
Research AI model / method · Research code or publication
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DeepMind and Isomorphic Labs Open-Source AlphaFold 3 Weights for Academic Research
18 Sept 2026
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