Morphology-Aware Peptide Discovery via Masked Conditional Generative Modeling

ArXi:2509.02060v4 Announce Type: replace-cross Peptide self-assembly prediction offers a powerful bottom-up strategy for designing biocompatible, low-toxicity materials for large-scale synthesis in a broad range of biomedical and energy applications. However, screening the vast sequence space for categorization of aggregate morphology remains intractable. We