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Quantum-Circuit Residuals for Receptor Functional Potency Prediction: Predictive Gains and Quadratic Structure
The predictive performance of neural networks for receptor functional potency modeling depends on both molecular representations and prediction-head design. Using GLP-1R cAMP-related pEC50 prediction as the primary task, we jointly train a classical molecular encoder with a linear base head and a sh
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