Generic residue numbering of the GAIN domain of adhesion GPCRs
<p>The dataset corresponding to the publication:</p> <ul> <li>Generic residue numbering of the GAIN domain of adhesion GPCRs <div> <div>Florian Seufert, Guillermo Pérez-Hernández, Gáspár Pándy-Szekeres, Ramon Guixà-González, Tobias Langenhan, David E. Gloriam, Peter W. Hildebrand</div> <div>ReasearchSquare</div> <div><a href="https://doi.org/10.21203/rs.3.rs-4761600/v1" rel="nofollow">https://doi.org/10.21203/rs.3.rs-4761600/v1</a></div> </div> </li> </ul> <p>The archive consists of three files:</p> <ul> <li>gaingrn_data.tgz</li> </ul> <p>Contains the underlying data and object structures for the GAIN-GRN creation process and the python package availabe in <a title="repo" href="https://github.com/FloSeu/GAIN-GRN" target="_blank" rel="noopener">https://github.com/FloSeu/GAIN-GRN</a>. This can be downloaded manually and extracted in the respective GAIN-GRN/ directory or automatically retrieved via a dedicated function</p> <ul> <li>agpcr_gains.tgz</li> </ul> <p>Contains the best (rank 1) PDB model of the ColabFold/AlphaFold2 workflow for each adhesion GPCR GAIN domain, named by its UniProt accession number.</p> <ul> <li>pkd_gains.tgz</li> </ul> <p>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.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4