Author

Alex Perálvarez‐Marín

Universitat Autònoma de BarcelonaORCID 0000-0002-3457-0875Unclaimed 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:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Organism:human· 1 Approach:mechanistic / dynamical model· 1 Research Focus:protein folding & dynamics· 1 Approach:statistical model· 1

Frequent Co-Authors

Èric Catalina-HernándeziD· 2 shared Marcel Aguilella‐ArzoiD· 2 shared Mario López-MartíniD· 1 shared Mateo Calle-Velasquez· 1 shared Mohsen HabibniaiD· 1 shared Ramon Barnadas‐RodrígueziD· 1 shared V. LorenziD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 17 mutual co-author links

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2 shared papersBiophysics

Èric Catalina-HernándezORCID

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2 papers

Recent·Most cited

Membrane Lipid Composition and Asymmetry Act as a Switch for Cell-Penetrating Peptide Translocation versus Leakage

Èric Catalina-Hernández, Mateo Calle-Velasquez, Mohsen Habibnia, Marcel Aguilella‐Arzo, Ramon Barnadas‐Rodríguez, V. Lorenz, Alex Perálvarez‐Marín

This paper shows that membrane lipid composition and asymmetry determine whether a CPP translocates or causes leakage, using simulations and experiments.

bioRxiv · May 25, 2026 · PreprintBiophysics

Computational Insights into Membrane Disruption by Cell-Penetrating Peptides

Èric Catalina-Hernández, Marcel Aguilella‐Arzo, Alex Perálvarez‐Marín, Mario López-Martín

This study uses computational methods to analyze how different cell-penetrating peptides interact with and disrupt cell membranes, identifying mechanisms based on lipid composition and peptide type.

Journal of Chemical Information and Modeling · Jan 17, 2025Peer-reviewedBiophysics