Author

José‐Emilio Sánchez‐Aparicio

Universitat Autònoma de BarcelonaORCID 0000-0002-3397-8393Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Jean‐Didier MaréchaliD· 1 shared Mercè Alemany‐ChavarriaiD· 1 shared Raúl Fernández-DíaziD· 1 shared Raul Pena Losada· 1 shared Weifeng GaoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Jean‐Didier MaréchalORCID

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1 paper

Recent·Most cited

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

José‐Emilio Sánchez‐Aparicio, Raúl Fernández-Díaz, Raul Pena Losada, Weifeng Gao, Mercè Alemany‐Chavarria, Jean‐Didier Maréchal

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

bioRxiv · Jul 12, 2026 · PreprintBioinformatics