8u9g

From Proteopedia

(Difference between revisions)
Jump to: navigation, search
Current revision (10:06, 25 December 2024) (edit) (undo)
 
(One intermediate revision not shown.)
Line 9: Line 9:
</table>
</table>
== Function ==
== Function ==
-
[https://www.uniprot.org/uniprot/Q53Z42_HUMAN Q53Z42_HUMAN] Involved in the presentation of foreign antigens to the immune system (By similarity).[SAAS:SAAS003006_004_004364]
+
[https://www.uniprot.org/uniprot/A0A140T913_HUMAN A0A140T913_HUMAN]
<div style="background-color:#fffaf0;">
<div style="background-color:#fffaf0;">
== Publication Abstract from PubMed ==
== Publication Abstract from PubMed ==
Major histocompatibility complex (MHC) proteins present peptides on the cell surface for T cell surveillance. Reliable in silico prediction of which peptides would be presented and which T cell receptors would recognize them is an important problem in structural immunology. Here, we introduce an AlphaFold-based pipeline for predicting the three-dimensional structures of peptide-MHC complexes for class I and class II MHC molecules. Our method demonstrates high accuracy, outperforming existing tools in class I modeling accuracy and class II peptide register prediction. We validate its performance and utility with new experimental data on a recently described cancer neoantigen/wild-type peptide pair and explore applications toward improving peptide-MHC binding prediction.
Major histocompatibility complex (MHC) proteins present peptides on the cell surface for T cell surveillance. Reliable in silico prediction of which peptides would be presented and which T cell receptors would recognize them is an important problem in structural immunology. Here, we introduce an AlphaFold-based pipeline for predicting the three-dimensional structures of peptide-MHC complexes for class I and class II MHC molecules. Our method demonstrates high accuracy, outperforming existing tools in class I modeling accuracy and class II peptide register prediction. We validate its performance and utility with new experimental data on a recently described cancer neoantigen/wild-type peptide pair and explore applications toward improving peptide-MHC binding prediction.
-
Accurate modeling of peptide-MHC structures with AlphaFold.,Mikhaylov V, Brambley CA, Keller GLJ, Arbuiso AG, Weiss LI, Baker BM, Levine AJ Structure. 2023 Dec 14:S0969-2126(23)00413-6. doi: 10.1016/j.str.2023.11.011. PMID:38113889<ref>PMID:38113889</ref>
+
Accurate modeling of peptide-MHC structures with AlphaFold.,Mikhaylov V, Brambley CA, Keller GLJ, Arbuiso AG, Weiss LI, Baker BM, Levine AJ Structure. 2024 Feb 1;32(2):228-241.e4. doi: 10.1016/j.str.2023.11.011. Epub 2023 , Dec 18. PMID:38113889<ref>PMID:38113889</ref>
From MEDLINE&reg;/PubMed&reg;, a database of the U.S. National Library of Medicine.<br>
From MEDLINE&reg;/PubMed&reg;, a database of the U.S. National Library of Medicine.<br>

Current revision

Human Class I MHC HLA-A2 bound to sorting nexin 24 (127-135) neoantigen KLSHQLVLL

PDB ID 8u9g

Drag the structure with the mouse to rotate

Proteopedia Page Contributors and Editors (what is this?)

OCA

Personal tools