Published April 22, 2022
| Version v1
Dataset
Open
data set to bioRxiv preprint 'Persistent cross-species SARS-CoV-2 variant infectivity predicted via comparative molecular dynamics simulation
Description
This is supporting data and software code for the following preprint in bioRxiv
Persistent cross-species SARS-CoV-2 variant infectivity predicted via comparative molecular dynamics simulation
https://www.biorxiv.org/content/10.1101/2022.04.18.488629v1
Files
ALL_Human-Bat SARS-CoV-2 variant models.zip
Files
(18.5 GB)
| Name | Size | |
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md5:b858ec0602d7b6e73a016dfa1d0c16ad
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1.6 MB | Preview Download |
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md5:7b3d0ce049d0ee98b78c1c65f28effe8
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1.2 GB | Preview Download |
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md5:39c5349975d900918849c99200267efb
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25.0 kB | Preview Download |
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md5:e80c62b28eac1f334e7103eafc22fcfb
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990.8 MB | Preview Download |
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md5:51059e586db35bb28e76d2c69269fef6
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26.2 MB | Preview Download |
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md5:210ce263d8ea18e2d5117c0139aa0595
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1.5 GB | Preview Download |
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md5:4ebe417bf0cf421fbf76973ba22d1258
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17.7 kB | Preview Download |
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md5:8f02e16bdbe1935f8655ce3c6eba8b69
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1.7 GB | Preview Download |
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md5:c033117ccf3186fec541018cc74c008e
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69.5 kB | Preview Download |
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md5:a55478cf37070ac12b6dc7d3d8a5406d
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2.1 GB | Preview Download |
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md5:6c948cc7215f3121fa23e3a0b54c2509
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22.1 kB | Preview Download |
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md5:3cfdce331429dc480f28cf0677f8ea74
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2.7 GB | Preview Download |
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md5:4c46a55e4e3dff597ec2f1a0d89eec5c
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28.6 kB | Preview Download |
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md5:390e78d737ac9d1577461f89d8af3f83
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1.1 GB | Preview Download |
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md5:8e077a51d8250355981a866bb0691db0
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29.5 kB | Preview Download |
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md5:2cde491e9b365afec1c85183d273691d
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58.5 kB | Preview Download |
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md5:43fa0b7a29dab3b6090fd7e435ffc412
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1.1 GB | Preview Download |
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md5:8bbe4ea6968fe835fa84edc75e51a597
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30.5 kB | Preview Download |
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md5:b7631f96e3b072879abec9bf7fc68762
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1.4 GB | Preview Download |
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md5:8664f5f49de65344744dbd48c5910d28
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30.4 kB | Preview Download |
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md5:30196a2f4f6595f3463fa7a6fe82a4e0
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1.1 GB | Preview Download |
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md5:6d54786ca28ac9315279d7efb26dc58f
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29.8 kB | Preview Download |
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md5:b1fad5a5c415e469ae54423abd683525
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2.3 GB | Preview Download |
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md5:b16261365620650aa79e8f3478008ff9
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21.4 kB | Preview Download |
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md5:5b57da7b11c271d9e128393acaa91534
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27.7 kB | Preview Download |
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md5:9a70da1855924b4ab484a3ea8af9219b
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1.4 GB | Preview Download |
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md5:0f4f9578718720133925da7b611f4b25
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22.3 kB | Preview Download |
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md5:99d58f4ad95d6a177dd37161c4eb1bea
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23.1 kB | Preview Download |
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md5:88f149117129cd6c5154f21802c68d50
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1.0 kB | Preview Download |
Additional details
Related works
- Is supplement to
- Preprint: 10.1101/2022.04.18.48862 (DOI)