Author

Rebeca García‐Fandiño

Universidade de Santiago de CompostelaORCID 0000-0002-5274-3928Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:deep learning· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Ángel PiñeiroiD· 2 shared Daniel Conde-TorresiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Ángel PiñeiroORCID

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2 papers

Recent·Most cited

Helix Design Studio: designing antimicrobial peptide candidates for membrane environments

Daniel Conde-Torres, Rebeca García‐Fandiño, Ángel Piñeiro

Helix Design Studio designs antimicrobial peptides by optimizing sequence compatibility with target membrane environments while balancing interactions across different conditions.

bioRxiv · Oct 21, 2026 · PreprintBioinformatics

Environment-conditioned design of alpha-helical peptides

Daniel Conde-Torres, Rebeca García‐Fandiño, Ángel Piñeiro

This paper introduces a physics-based Hamiltonian for designing alpha-helical peptides that are stable and selective across environments, showing it can distinguish functional and non-functional sequences.

Journal of Chemical Theory and Computation · Sep 8, 2026Peer-reviewedBiophysics