AWS Machine Learning Blog· Malav Shastri·· 2 d ago
OpenFold3 on Amazon SageMaker JumpStart: Predict biomolecular structures
OpenFold3 on Amazon SageMaker JumpStart: Predict biomolecular structures
AI summary
Deploy OpenFold3-preview from Amazon SageMaker JumpStart to predict 3D structures of proteins, DNA, RNA, and ligand complexes in your own AWS account. The post covers asynchronous inference, multi-GPU parallelism, bringing your own MSAs for accuracy and privacy, and scaling to zero to reduce cost.
Selection record
Threshold 60Official, first-handFirst 38Second 34
Not admittedSum of both 72 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：OpenFold3生物分子结构预测模型部署教程
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com