8yj2

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Current revision (06:18, 4 December 2024) (edit) (undo)
 
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'''Unreleased structure'''
 
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The entry 8yj2 is ON HOLD until Paper Publication
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==N17.1.2 recognition of NRAS neoantigens==
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<StructureSection load='8yj2' size='340' side='right'caption='[[8yj2]], [[Resolution|resolution]] 2.26&Aring;' scene=''>
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== Structural highlights ==
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<table><tr><td colspan='2'>[[8yj2]] is a 5 chain structure with sequence from [https://en.wikipedia.org/wiki/Homo_sapiens Homo sapiens]. Full crystallographic information is available from [http://oca.weizmann.ac.il/oca-bin/ocashort?id=8YJ2 OCA]. For a <b>guided tour on the structure components</b> use [https://proteopedia.org/fgij/fg.htm?mol=8YJ2 FirstGlance]. <br>
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</td></tr><tr id='method'><td class="sblockLbl"><b>[[Empirical_models|Method:]]</b></td><td class="sblockDat" id="methodDat">X-ray diffraction, [[Resolution|Resolution]] 2.261&#8491;</td></tr>
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<tr id='resources'><td class="sblockLbl"><b>Resources:</b></td><td class="sblockDat"><span class='plainlinks'>[https://proteopedia.org/fgij/fg.htm?mol=8yj2 FirstGlance], [http://oca.weizmann.ac.il/oca-bin/ocaids?id=8yj2 OCA], [https://pdbe.org/8yj2 PDBe], [https://www.rcsb.org/pdb/explore.do?structureId=8yj2 RCSB], [https://www.ebi.ac.uk/pdbsum/8yj2 PDBsum], [https://prosat.h-its.org/prosat/prosatexe?pdbcode=8yj2 ProSAT]</span></td></tr>
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</table>
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== Function ==
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[https://www.uniprot.org/uniprot/F6IQR9_HUMAN F6IQR9_HUMAN]
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<div style="background-color:#fffaf0;">
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== Publication Abstract from PubMed ==
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T cell receptors (TCRs) that recognize cancer neoantigens are important for anticancer immune responses and immunotherapy. Understanding the structural basis of TCR recognition of neoantigens provides insights into their exquisite specificity and can enable design of optimized TCRs. We determined crystal structures of a human TCR in complex with NRAS Q61K and Q61R neoantigen peptides and HLA-A1 major histocompatibility complex (MHC), revealing the molecular underpinnings for dual recognition and specificity versus wild-type NRAS peptide. We then used multiple versions of AlphaFold to model the corresponding complex structures, given the challenge of immune recognition for such methods. One implementation of AlphaFold2 (TCRmodel2) with additional sampling was able to generate accurate models of the complexes, while AlphaFold3 also showed strong performance, although success was lower for other complexes. This study provides insights into TCR recognition of a shared cancer neoantigen as well as the utility and practical considerations for using AlphaFold to model TCR-peptide-MHC complexes.
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Authors: Wu, D.C., Mariuzza, R.A.
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Structural characterization and AlphaFold modeling of human T cell receptor recognition of NRAS cancer neoantigens.,Wu D, Yin R, Chen G, Ribeiro-Filho HV, Cheung M, Robbins PF, Mariuzza RA, Pierce BG Sci Adv. 2024 Nov 22;10(47):eadq6150. doi: 10.1126/sciadv.adq6150. Epub 2024 Nov , 22. PMID:39576860<ref>PMID:39576860</ref>
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Description: N17.1.2 recognition of NRAS neoantigens
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From MEDLINE&reg;/PubMed&reg;, a database of the U.S. National Library of Medicine.<br>
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[[Category: Unreleased Structures]]
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</div>
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[[Category: Mariuzza, R.A]]
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<div class="pdbe-citations 8yj2" style="background-color:#fffaf0;"></div>
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[[Category: Wu, D.C]]
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== References ==
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<references/>
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__TOC__
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</StructureSection>
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[[Category: Homo sapiens]]
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[[Category: Large Structures]]
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[[Category: Mariuzza RA]]
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[[Category: Wu DC]]

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N17.1.2 recognition of NRAS neoantigens

PDB ID 8yj2

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