View source for 8yiv


==N17.1.2 recognition of NRAS neoantigens==
<StructureSection load='8yiv' size='340' side='right'caption='[[8yiv]], [[Resolution|resolution]] 2.10&Aring;' scene=''>
== Structural highlights ==
<table><tr><td colspan='2'>[[8yiv]] 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=8YIV OCA]. For a <b>guided tour on the structure components</b> use [https://proteopedia.org/fgij/fg.htm?mol=8YIV FirstGlance]. <br>
</td></tr><tr id='method'><td class="sblockLbl"><b>[[Empirical_models|Method:]]</b></td><td class="sblockDat" id="methodDat">X-ray diffraction, [[Resolution|Resolution]] 2.101&#8491;</td></tr>
<tr id='ligand'><td class="sblockLbl"><b>[[Ligand|Ligands:]]</b></td><td class="sblockDat" id="ligandDat"><scene name='pdbligand=EDO:1,2-ETHANEDIOL'>EDO</scene>, <scene name='pdbligand=GOL:GLYCEROL'>GOL</scene></td></tr>
<tr id='resources'><td class="sblockLbl"><b>Resources:</b></td><td class="sblockDat"><span class='plainlinks'>[https://proteopedia.org/fgij/fg.htm?mol=8yiv FirstGlance], [http://oca.weizmann.ac.il/oca-bin/ocaids?id=8yiv OCA], [https://pdbe.org/8yiv PDBe], [https://www.rcsb.org/pdb/explore.do?structureId=8yiv RCSB], [https://www.ebi.ac.uk/pdbsum/8yiv PDBsum], [https://prosat.h-its.org/prosat/prosatexe?pdbcode=8yiv ProSAT]</span></td></tr>
</table>
== Function ==
[https://www.uniprot.org/uniprot/F6IQR9_HUMAN F6IQR9_HUMAN] 
<div style="background-color:#fffaf0;">
== Publication Abstract from PubMed ==
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.

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>

From MEDLINE&reg;/PubMed&reg;, a database of the U.S. National Library of Medicine.<br>
</div>
<div class="pdbe-citations 8yiv" style="background-color:#fffaf0;"></div>
== References ==
<references/>
__TOC__
</StructureSection>
[[Category: Homo sapiens]]
[[Category: Large Structures]]
[[Category: Mariuzza RA]]
[[Category: Wu DC]]