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EMBER predicts TCR-pMHC binding without a docked complex

Original title: EMBER: Predicting TCR--pMHC Binding Without a Docked Complex

Hugging Face daily papersby Lin Ha, Chen Zhou, Haozheng Luo ()1 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

Under epitope-disjoint tests it led six retrained baselines on every metric, by 0.9 to 14.4% in micro-AUROC.

Researchers propose EMBER, a structure-based framework that predicts TCR-pMHC binding without a docked complex, avoiding placement error from co-folding. It folds the TCR and pMHC independently, encodes them as SE(3)-invariant residue graphs, and compares representations without a shared coordinate frame. Preprocessing uses O(N+M) monomer folds rather than O(NM) complex operations. Across four folding tools and six retrained baselines, EMBER ranked first on every reported metric.

Key facts
  • Gains were 18.5 to 25.3% in micro-AUPRC and 10.6 to 24.1% in MCC.
  • A relative pose is not an input, so placement error cannot propagate.
  • Ranking was up to 85% more stable across folding tools.
  • Evaluation used epitope-disjoint splits against six retrained baselines.
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From the original article

1 min read at huggingface.co

We propose EMBER, a structure-based framework for TCR--pMHC binding prediction that eliminates the need for a predicted docked complex, and with it the placement error that dominates such predictions. Traditional structure-based predictors utilize the co-folded complex structure of the receptor and the antigen and interpret binding from its contact surface.

Hugging Face daily papers

By Lin Ha, Chen Zhou, Haozheng Luo · huggingface.co

Read the full article at Hugging Face daily papers

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