Graph-pMHC: graph neural network approach to MHC class II peptide presentation and antibody immunogenicity

Research article (Briefings in Bioinformatics, 2024) · cited 28× · AI/ML
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Graph-pMHC: graph neural network approach to MHC class II peptide presentation and antibody immunogenicity

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Graph-pMHC: graph neural network approach to MHC class II peptide presentation and antibody immunogenicity is a scholarly article[1].

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  • Graph-pMHC: graph neural network approach to MHC class II peptide presentation and antibody immunogenicity's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Graph-pMHC: graph neural network approach to MHC class II peptide presentation and antibody immunogenicity. Retrieved May 24, 2026, from https://4ort.xyz/entity/graph-pmhc-graph-neural-network-approach-to-mhc-class-ii-peptide-presentation-and-antibody-immunogenicity
MLA “Graph-pMHC: graph neural network approach to MHC class II peptide presentation and antibody immunogenicity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/graph-pmhc-graph-neural-network-approach-to-mhc-class-ii-peptide-presentation-and-antibody-immunogenicity.
BibTeX @misc{4ortxyz_graph-pmhc-graph-neural-network-approach-to-mhc-class-ii-peptide-presentation-and-antibody-immunogenicity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Graph-pMHC: graph neural network approach to MHC class II peptide presentation and antibody immunogenicity}}, year = {2026}, url = {https://4ort.xyz/entity/graph-pmhc-graph-neural-network-approach-to-mhc-class-ii-peptide-presentation-and-antibody-immunogenicity}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Graph-pMHC: graph neural network approach to MHC class II peptide presentation and antibody immunogenicity — https://4ort.xyz/entity/graph-pmhc-graph-neural-network-approach-to-mhc-class-ii-peptide-presentation-and-antibody-immunogenicity (retrieved 2026-05-24)

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