Jean‐Didier Maréchal

BioMetAll v2.0: Introducing Scores, Metal Discrimination, and Side-Chain Descriptors for Predicting Metal-Binding Sites in Proteins.

BioMetAll v2.0 improves metal-binding site prediction with metal-specific scores and backbone geometry analysis, enhancing benchmarking and understanding of metal-protein interactions.

HemeFinder: a Computational Predictor for Heme-Binding Sites in Proteins

HemeFinder predicts heme-binding sites in proteins with high accuracy and speed, demonstrating its utility in identifying heme interactions and pathways.

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.