Integrating conformal prediction into an RL-guided generative framework for cyclic peptide design improves optimization reliability by accounting for predictive uncertainty in permeability.
(12) Gentile, F.; Yaacoub, J
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Confidence is the key: how conformal prediction enhances the generative design of permeable peptides
Integrating conformal prediction into an RL-guided generative framework for cyclic peptide design improves optimization reliability by accounting for predictive uncertainty in permeability.