Intelligent in-silico prioritization of antimalarial peptide candidates under explicit physicochemical windows via de novo CTCM-Neo generation and conformal-gated calibrated classification

Overall, the framework compresses the search space into a small, risk-bounded set of computationally prioritized candidates and provides a scalable, uncertainty-aware route for downstream experimental follow-up. All results reported here are computational, and antimalarial activity remains to be confirmed experimentally.