Author

Rocío Romero‐Zaliz

Universidad de GranadaORCID 0000-0003-4500-9781Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Ignacio Suárez-Martín· 2 shared José M. Sánchez‐RuiziD· 2 shared Valeria A. RissoiD· 2 shared Dušan PetrovićiD· 1 shared F. Falcioni· 1 shared Gloria Gamiz-ArcoiD· 1 shared Katja ZorniD· 1 shared Leonardo De MariaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiochemistry

Ignacio Suárez-Martín

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2 papers

Recent·Most cited

BiochemistryProtein SciencePeer-reviewedJun 15, 2026

Ancestral versus Modern Substrate Scope in Family-1 Glycosidases

Luis I. Gutierrez-Rus, Dušan Petrović, Pascal Schneider…·José M. Sánchez‐Ruiz

This study compares the substrate scope of a modern and ancestral family-1 glycosidase, finding the ancestral enzyme more efficient with large aglycon-containing flavonoid glycosides.

DOI 10.1002/pro.70676

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsInternational Journal of Molecular SciencesPeer-reviewedMay 15, 2025

Efficient searches in protein sequence space through AI-driven iterative learning

Ignacio Suárez-Martín, Valeria A. Risso, Rocío Romero‐Zaliz, José M. Sánchez‐Ruiz

The paper demonstrates that AI tools can efficiently identify high-fitness protein variants and predict antibody evasion patterns using limited experimental data.

DOI 10.3390/ijms26104741

protein sequencemachine learning (classical)

𝕏 PostBluesky