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6 results for “GAIN domain”
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>
Computational dataset for the manuscript "Tethered agonist exposure in intact adhesion/class B2 GPCRs through intrinsic structural flexibility of the GAIN domain"
<p>This repository provides url links to the MDsrv sessions for the manuscript: <em>Tethered agonist exposure in intact adhesion/class B2 GPCRs through intrinsic structural flexibility of the GAIN domain<strong>.</strong></em> </p> <p><strong>Link 1</strong>: L1 dynamic: <a href="http://proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/L1.ngl">proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/L1.ngl </a></p> <p><strong>Link 2</strong>: G1 dynamic: <a href="http://proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/G1.ngl">proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/G1.ngl</a></p> <p><strong>Link 3</strong>: E5 static: <a href="http://proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/E5_crevice.ngl">proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/E5_crevice.ngl</a></p> <p><strong>Link 4: </strong>E5 dynamic: <a href="http://proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/E5.ngl">proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/E5.ngl</a></p> <p><strong>Link 5: </strong>E5 +3 static: <a href="http://proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/E5+3.ngl">proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/E5+3.ngl</a></p> <p><strong>Link 6: </strong>E5 +6 static: <a href="http://proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/E5+6.ngl">proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/E5+6.ngl</a></p> <p><strong>Link 7: </strong>E2 dynamic: <a href="http://proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/E2.ngl">proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/E2.ngl</a></p> <p><strong>Link 8: </strong>L1 Phe+3Lys dynamic: <a href="http://proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/L1Phe+3Lys.ngl">proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/L1Phe+3Lys.ngl</a></p> <p><strong>Link 9: </strong>L1 Leu+6Lys dynamic: <a href="http://proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/L1Leu+6Lys.ngl">proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/L1Leu+6Lys.ngl</a></p> <p><strong>Link 10: </strong>L1 dynamic (ribbon representation): <a href="http://proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/L1Ribbon.ngl">proteinformatics.uni-leipzig.de/html/mdsrv.html?load=file://base/aGPCRs/L1Ribbon.ngl</a></p> <p> </p> <p> </p>
Gain-of-function ENL YEATS domain mutations impede nephrogenesis through gene expression control
GEO Series GSE283435. Mus musculus. 34 samples. Type: Expression profiling by high throughput sequencing; Other.
Gain-of-function ENL YEATS domain mutations impede nephrogenesis through gene expression control [Spatial Transcriptomics]
GEO Series GSE283433. Mus musculus. 2 samples. Type: Other.
Gain-of-function ENL YEATS domain mutations impede nephrogenesis through gene expression control [RNA-seq]
GEO Series GSE266256. Mus musculus. 32 samples. Type: Expression profiling by high throughput sequencing.
Microarray analysis to unravel the function of C-terminus domain of EBF1 by gain-of function approach
GEO Series GSE78842. Mus musculus. 9 samples. Type: Expression profiling by array.
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