Lorena Roldán-Martín

Generative Language Modeling for Antibody CDR Grafting and Alignment-driven De Novo Design

GenCDR uses LLaMa-based models to generate antibody CDRs with framework context, achieving high recovery and developable designs through alignment-driven training.

BioBrigit, A Hybrid Deep Learning and Knowledge-based Approach to Model Metal Pathways in Proteins: Application to a Di-Copper Tyrosinase

BioBrigit models metal binding pathways in proteins using a hybrid deep learning and knowledge-based approach, applied to di-copper tyrosinase to understand copper recruitment mechanisms.