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    Boltz-1 Training Data

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    Sold by: MIT CSAIL - Regina Barzilay Group 
    Open data
    |
    Deployed on AWS
    This is the data used to train the Boltz-1 model. It contains the following datasets: - Our pre-processed version of the Protein Data Bank - Our pre-processed version of the multiple sequence alignment data for each protein chain - The raw multiple sequence alginment data. - A pre-computed symmetry file for symmetry correction during training

    Overview

    This is the data used to train the Boltz-1 model. It contains the following datasets:

    • Our pre-processed version of the Protein Data Bank
    • Our pre-processed version of the multiple sequence alignment data for each protein chain
    • The raw multiple sequence alginment data.
    • A pre-computed symmetry file for symmetry correction during training

    Features and programs

    Open Data Sponsorship Program

    This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
    Learn more

    Pricing

    This is a publicly available data set. No subscription is required.

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    Usage information

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    Delivery details

    AWS Data Exchange (ADX)

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    Open data resources

    Available with or without an AWS account.

    How to use
    To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more 
    Description
    S3 Bucket containing the Boltz-1 data
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::boltz1
    AWS region
    us-east-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://boltz1/

    Resources

    Vendor resources

    View this dataset on Github 

    Support

    Contact

    jwohlwend@csail.mit.edu 

    Managed By

    MIT CSAIL - Regina Barzilay Group

    How to cite

    Boltz-1 Training Data was accessed on DATE from https://registry.opendata.aws/boltz1 .

    License

    MIT License