Hossein Eslami

Sequence-centric deep learning druggability prediction using protein language models with multi-scale attention and feature fusion

Overall, DrugPLMFormer provides a reproducible, leakage-aware framework for retrospective sequence-based druggability screening and target prioritization, while prospective validation and experimental confirmation remain necessary before operational deployment.