Published October 4, 2024 | Version v1
Dataset Open

Generic residue numbering of the GAIN domain of adhesion GPCRs

  • 1. ROR icon Leipzig University
  • 2. Charité Universitätsmedizin Berlin
  • 3. University of Copenhagen
  • 4. Københavns Universitet
  • 5. Berlin Institute of Health
  • 6. Universitätsklinikum Leipzig

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. Hildebrand
    ReasearchSquare

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
md5:abe54a75a80fcd70ba5347398738b9ba
1.2 GB Download
md5:1850347d514b78fa110bc4a6ed2f4f90
405.7 MB Download
md5:dac72a3d20f5abc759f2ddfbc4e5c4db
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