Author

R. Ramis

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:mechanistic / dynamical model· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

A. Bergara· 2 shared A. Leonardo· 2 shared A. Muguruza-Montero· 2 shared A. Villarroel· 2 shared E. Nunez· 2 shared O. R. Ballesteros· 2 shared S. M-Alicante· 2 shared A. Saez-Matia· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

A. Bergara

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Molecular dynamics simulations of the calmodulin-induced alpha-helix in the SK2 calcium-gated potassium ion channel

R. Ramis, O. R. Ballesteros, A. Muguruza-Montero, S. M-Alicante, E. Nunez, A. Villarroel, A. Leonardo, A. Bergara

This study uses molecular dynamics simulations to investigate how calmodulin induces a full alpha-helix in the SK2 channel's CaMBD, revealing hydrophobic interactions and the stabilizing role of a pre-folded helix.

bioRxiv · Nov 2, 2022Biophysics

Improved KCNQ2 gene missense variant interpretation with artificial intelligence

A. Saez-Matia, A. Muguruza-Montero, S. M-Alicante, E. Nunez, R. Ramis, O. R. Ballesteros, M. Garcia-Ibarlueza, C. Fons, A. Leonardo, A. Bergara, A. Villarroel

The paper develops a gene-specific machine learning model to improve the prediction of KCNQ2 missense variant pathogenicity with high sensitivity and specificity.

bioRxiv · Oct 20, 2022 · PreprintPathology