AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The structures explain how the NRASQ61K mutation rendered a self-antigen visible to T cells and provide stringent tests for computational modeling of TCR-peptide-MHC interactions relevant to cancer immunotherapy.
It is shown that increased sampling and AlphaFold3 generally improve performance relative to default sampling and AlphaFold2, however predictive accuracy and improvement levels varied considerably among interface classes, with antibody-peptide complexes representing a challenge despite their small antigen size.
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