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OpenFold Training Data

alphafold life sciences msa open source software openfold protein protein folding protein template

Description

Multiple sequence alignments (MSAs) and template hits for 132,000 unique Protein Data Bank (PDB) chains, covering 640,000 PDB chains in total, and 270,000 filtered UniClust30 clusters. MSAs were generated with HHBlits and JackHMMER against MGnify, BFD, UniRef90, and UniClust30 while templates were identified from PDB70 with HHSearch, all according to procedures outlined in the supplement to the AlphaFold 2 Nature paper, Jumper et al. 2021. We expect the database to be broadly useful to structural biologists training or validating deep learning models for protein structure prediction and related tasks.

Update Frequency

Never

License

CC BY 4.0

Documentation

https://docs.google.com/document/d/1R90-VJSLQEbot7tgXF3zb068Y1ZJAmsckQ_t2sJTv2c/edit?usp=sharing

Managed By

OpenFold

See all datasets managed by OpenFold.

Contact

https://github.com/aqlaboratory/openfold/issues

How to Cite

OpenFold Training Data was accessed on DATE from https://registry.opendata.aws/openfold.

Resources on AWS

  • Description
    A repository of MSAs and template hits.
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::openfold
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://openfold/

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