Generic residue numbering of the GAIN domain of adhesion GPCRs
Creators
Description
The dataset corresponding to the publication:
- Generic residue numbering of the GAIN domain of adhesion GPCRs
Florian Seufert, Guillermo Pérez-Hernández, Gáspár Pándy-Szekeres, Ramon Guixà-González, Tobias Langenhan, David E. Gloriam, Peter W. HildebrandReasearchSquare
The arhive consists of three files:
- gaingrn_data.tgz
Contains the underlying data and object structures for the GAIN-GRN creation process and the python package availabe in https://github.com/FloSeu/GAIN-GRN. This can be downloaded manually and extracted in the respective GAIN-GRN/ directory or automatically retrieved via a dedicated function
- agpcr_gains.tgz
Contains the best (rank 1) PDB model of the ColabFold/AlphaFold2 workflow for each adhesion GPCR GAIN domain, named by its UniProt accession number.
- pkd_gains.tgz
Contains the best (rank 1) PDB model of the ColabFold/AlphaFold2 workflow for each polycystic kidney disease (PKD1) / PKD1-like 1 protein (PKD1L1) GAIN domain, named by its UniProt accession number.
Files
Files
(1.9 GB)
Name | Size | Download all |
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md5:abe54a75a80fcd70ba5347398738b9ba
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1.2 GB | Download |
md5:1850347d514b78fa110bc4a6ed2f4f90
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405.7 MB | Download |
md5:dac72a3d20f5abc759f2ddfbc4e5c4db
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316.4 MB | Download |
Additional details
Related works
- Is supplement to
- Publication: 10.21203/rs.3.rs-4761600/v1 (DOI)
- Computational notebook: https://github.com/FloSeu/GAIN-GRN (URL)
Software
- Repository URL
- https://github.com/FloSeu/GAIN-GRN
- Programming language
- Python
- Development Status
- Active