概览介绍
Protein structure inference with AlphaFold 2. This is the AlphaFold 2 pipeline, not AlphaFold 3; predictions require experimental assessment.
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: 16/09/2026, 17:33:40 UTC
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开发机构 Google DeepMind →
Protein structure inference with AlphaFold 2. This is the AlphaFold 2 pipeline, not AlphaFold 3; predictions require experimental assessment.
Protein structure inference with AlphaFold 2. This is the AlphaFold 2 pipeline, not AlphaFold 3; predictions require experimental assessment.
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: 16/09/2026, 17:33:40 UTC
Use this citation format when referencing AlphaFold 2 in scientific publications and benchmark papers.
@software{alphafold_2_2026,
title = {{AlphaFold 2}},
author = {{Google DeepMind}},
year = {2026},
url = {https://github.com/google-deepmind/alphafold},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for AlphaFold 2.
Missing values mean the catalog has no recorded information. They do not mean a feature is absent.
No software–hardware integration has been verified for this entry yet. Explore documented research workflows.

AlphaFold 2 Scientific 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
All-atom protein structure diffusion conditioned on specific ligand or nucleic acid atomic context.
Baker Lab
AI Model · Research Preview
AI system for generating novel, high-affinity protein binders directly from target structures
Google DeepMind
暂无与此工具关联的已验证学术动态。
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费用根据官方最近一次公布的说明整理。请在官方网站确认最新报价与学术折扣。
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