Published January 8, 2024
| Version 0.1
Dataset
Open
Example datasets for AlphaCRV
Description
Example datasets for AlphaCRV: A Pipeline for Identifying Accurate Binder Topologies in Mass-Modeling with AlphaFold. With these datasets you can replicate two of the three examples shown in the paper, following along with the Jupyter notebooks in the GitHub repository at https://github.com/strubelab/AlphaCRV. Description:
- AVRPia.fasta, AVRPik.fasta, SKP1.fasta: Sequences of the bait molecules for the three examples.
- AVRPia_binders.fasta, AVRPik_binders.fasta, SKP1_binders.fasta: Sequences of the binder molecules for the three examples.
- AVRPia_vs_rice_models.tar.lzma, AVRPik_vs_rice_models.tar.lzma: Compressed archives of the AlphaFold-Multimer models for the AVRPia and AVRPik examples. The 712 complexes for SKP1 are more than 100GB in size, so those can be provided upon request. To decompress the .tar.lzma archives use the following two commands on each:
unlzma AVRPia_vs_rice_models.tar.lzma
tar -xvf AVRPia_vs_rice_models.tar
- AVRPia_vs_rice_clusters.tar.gz, AVRPik_vs_rice_clusters.tar.gz, SKP1_vs_rice_clusters.tar.gz: Compressed archives with the results from running AlphaCRV on the three examples presented in the paper. To decompress these archives use the following command on each:
tar -xvzf AVRPia_vs_rice_clusters.tar.gz
Files
Files
(27.6 GB)
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md5:35bd00baec2b49e4826adaa378fbe711
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76 Bytes | Download |
md5:b17f9154ac062b90d4354dce946f72fa
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44.6 kB | Download |
md5:f5399d9b5008d1667feb34b50ad80007
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43.5 MB | Download |
md5:e7f78401a4cc847bfe5481b975ec932f
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16.7 GB | Download |
md5:6098308e0b180421594d0a603c7d9ebc
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101 Bytes | Download |
md5:ee7280a0a5ccef02481699142a6ab848
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29.2 kB | Download |
md5:ec174e77c81a353b9d8b2dee2d72c614
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30.7 MB | Download |
md5:2c8cffdecc568babd463842077f08461
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10.4 GB | Download |
md5:4f29ad88228e78cbfd8e1ea7d93e5db3
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183 Bytes | Download |
md5:53e17df12f61c27c486be6feef5f43ab
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302.2 kB | Download |
md5:d6ad80e726e3c5b82f89dd29f8af6a39
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441.9 MB | Download |
Additional details
Dates
- Submitted
-
2024-01-08Data Submission