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DIGITAL.CSIC
Dataset . 2024
Data sources: Datacite
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[Dataset] Generic residue numbering of the GAIN domain of adhesion GPCRs

Authors: Seufert, Florian; Pérez-Hernández, Guillermo; Pándy-Szekeres, Gáspár; Guixà-González, Ramon; Langenhan, Tobias; Gloriam, David; Hildebrand, Peter Werner;

[Dataset] Generic residue numbering of the GAIN domain of adhesion GPCRs

Abstract

The archive 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.

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 https://doi.org/10.21203/rs.3.rs-4761600/v1

Peer reviewed

Country
Spain
Related Organizations
Keywords

Ensure sustainable consumption and production patterns, Ensure availability and sustainable management of water and sanitation for all, http://metadata.un.org/sdg/6, http://metadata.un.org/sdg/3, GAIN, GPCRs, Ensure healthy lives and promote well-being for all at all ages, Responsible Consumption and Production

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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