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OpenFold3 biomolecular structure predictor available on AWS SageMaker JumpStart

By PulseAugur Editorial · [1 sources] ·

OpenFold3, an open-source biomolecular structure prediction model developed by the OpenFold Consortium and the AlQuraishi Lab at Columbia University, is now available on Amazon SageMaker JumpStart. This integration allows researchers and drug discovery teams to deploy and utilize OpenFold3 for predicting the 3D structures of proteins, DNA, RNA, and their complexes. The model's availability on SageMaker JumpStart simplifies the complex infrastructure requirements, offering features like GPU support, request queuing, and autoscaling for efficient and private sequence analysis. AI

IMPACT Simplifies deployment of advanced biomolecular structure prediction for drug discovery and engineering tasks.

RANK_REASON Deployment of an open-source model on a cloud platform.

Read on AWS Machine Learning Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

OpenFold3 biomolecular structure predictor available on AWS SageMaker JumpStart

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Deployment of an open-source model on a cloud platform.
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COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Malav Shastri ·

    OpenFold3 on Amazon SageMaker JumpStart: Predict biomolecular structures

    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 ze…

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