Published December 2, 2024
| Version v2
Dataset
Open
MaskedProtEnT_Datasets
-
1.
Johns Hopkins University
Files
Files
(25.4 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:5c12f4c31a3b9827194a646d96d4b6ea
|
4.7 GB | Download |
|
md5:c39936cc1e68366244f36150e51d578d
|
316.5 kB | Download |
|
md5:4347694615e73243e52ff340cdfc804c
|
322.8 MB | Download |
|
md5:60a3528f448b39ee952aee1e388ba360
|
4.4 GB | Download |
|
md5:1de471aa35e23c2fb43c490bd009df09
|
23.2 MB | Download |
|
md5:1461eb074c0386917e501ae4e5dd2ad0
|
4.9 GB | Download |
|
md5:5cddddd67c2b55138d651fe20953fe21
|
148.0 MB | Download |
|
md5:70d736cbf8101664e1b0aa78f1c9382d
|
598.9 MB | Download |
|
md5:a25c6a5972617c359ae7fb584af5df14
|
8.5 GB | Download |
|
md5:9d6c25b3e7b2211c811ac8cb299d58af
|
1.9 GB | Download |
Additional details
Software
- Repository URL
- https://github.com/Graylab/MaskedProteinEnT/tree/main
References
- Mahajan, S. P., Ruffolo, J. A., Gray, J. J., "Contextual protein and antibody encodings from equivariant graph transformers", biorxiv, 2023.
- Mahajan, S. P., Davila-Hernandez, F.A., Ruffolo, J. A., Gray, J. J., "How well do contextual protein encodings learn structure, function, and evolutionary context?", 2023. Under Review.