|
- AlphaFold Protein Structure Database
A new collaboration between EMBL’s European Bioinformatics Institute (EMBL-EBI), Google DeepMind, NVIDIA, and Seoul National University has made millions of AI-predicted protein complex structures openly available through the AlphaFold Database
- AlphaFold Database的在线搜索和使用 - 知乎
AlphaFold Database （以下简称AFDB）是 DeepMind 联合 欧洲分子生物学实验室 的 欧洲生物信息学研究所 （EMBL-EBI）共同发布的蛋白质预测结构的数据库网站。
- AlphaFold — Google DeepMind
So far, AlphaFold has predicted over 200 million protein structures – nearly all catalogued proteins known to science The AlphaFold Protein Structure Database makes this data freely available
- AlphaFold Server
AlphaFold Database is a large collection of precomputed protein predictions, generated with the AlphaFold2 model It covers a significant proportion of the proteins in UniProt, and entries can be quickly downloaded including in bulk
- AlphaFold Protein Structure Database 2025: a redesigned interface and . . .
The AlphaFold Protein Structure Database (AFDB; https: alphafold ebi ac uk), developed by EMBL–EBI and Google DeepMind, provides open access to hundreds of millions of high-accuracy protein structure predictions, transforming research in structural
- AlphaFold Protein Structure Database - GitHub
The 3D-Beacons platform allows users to retrieve coordinate files and metadata of experimentally determined and theoretical protein models from data providers such as AlphaFold DB
- AlphaFold Database expands to proteome-scale quaternary structures
While comprehensive experimental structural characterisation of all protein interactions remains infeasible, methods predicting structures of protein complexes, such as RoseTTAFold19 and AlphaFold-Multimer4, have demonstrated that high-confidence quaternary structure prediction is possible
- Highly accurate protein structure prediction with AlphaFold
Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known
|
|
|