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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Chuang Xue

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#protein folding Open access Sep 2026

ESMCHalo: halophile-associated protein prediction with frozen protein representations

ESMCHalo is a frozen protein-sequence predictor that combines ESMC-600M layer-36 canonical mean representations with five compact student heads trained using out-of-fold teacher targets with documented cross-fold limitations. The release provides frozen inference code, model checkpoints, calibration, a fixed threshold, verification utilities and locked evaluation summaries.

Fang Lv, Hutao Jin, Qishuai Ma et al. · 0 citations
#protein folding Open access Sep 2026

ESMCHalo: homology-aware halophile-associated protein prediction with leakage-free knowledge distillation

ESMCHalo is a frozen protein-sequence predictor that combines ESMC-600M layer-36 canonical mean representations with five compact student heads trained using leakage-free out-of-fold knowledge distillation. The release provides frozen inference code, model checkpoints, calibration, a fixed threshold, verification utilities and locked evaluation summaries.

Fang Lv, Hutao Jin, Qishuai Ma et al. · 0 citations
#protein folding Open access Sep 2026

ESMCHalo: homology-aware halophile-associated protein prediction with leakage-free knowledge distillation

ESMCHalo is a frozen protein-sequence predictor that combines ESMC-600M layer-36 canonical mean representations with five compact student heads trained using leakage-free out-of-fold knowledge distillation. The release provides frozen inference code, model checkpoints, calibration, a fixed threshold, verification utilities and locked evaluation summaries.

Fang Lv, Hutao Jin, Qishuai Ma et al. · 0 citations

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