Author

Joel Roca‐Martínez

Université Libre de BruxellesORCID 0000-0002-4313-3845Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Biophysics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:protein structure· 3 Approach:statistical model· 3 Research Focus:protein design· 2 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1

Frequent Co-Authors

Wim VrankeniD· 2 shared Aimee L. BoyleiD· 1 shared Alessandro ProvenzaniiD· 1 shared Amanda M. Acevedo‐JakeiD· 1 shared Andrew John WilsoniD· 1 shared Andrey V. RomanyukiD· 1 shared Anna Pérez‐RàfolsiD· 1 shared Bram MylemansiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBiophysics

Wim VrankenORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Expanding all-α-helical protein space through rational computational design

Katherine I. Albanese, Joel J. Chubb, Luis I. Gutierrez-Rus, Xiyue Leng, Kathleen W. Kurgan, Bram Mylemans, Katarzyna Ożga, Rokas Petrenas, Andrey V. Romanyuk, Amanda M. Acevedo‐Jake, Joel Roca‐Martínez, Stephen Cross, J. L. Ross Anderson, Jonathan Clayden, Graham J. Leggett, , Derek N. Woolfson

The paper designs de novo all-α-helical proteins using computational methods and validates their stability and structure.

bioRxiv · Jul 3, 2026 · PreprintSynthetic Biology

Deciphering the RNA recognition by Musashi-1 to design protein and RNA mutants for in vitro and in vivo applications

Anna Pérez‐Ràfols, Guillermo Pérez-Ropero, Linda Cerofolini, Luca Sperotto, Joel Roca‐Martínez, R. Anahí Higuera-Rodríguez, Pasquale Russomanno, W. Kaiser, Wim Vranken, U. Helena Danielson, Alessandro Provenzani, Tommaso Martelli, Michael Sattler, Jos Buijs, Marco Fragai

The paper uses structural biology and computational methods to design MSI-1 mutants that alter RNA binding selectivity, validated by NMR and SPR experiments.

Nucleic Acids Research · Jul 24, 2025Peer-reviewedBiophysics

Data-driven probabilistic definition of the low energy conformational states of protein residues

Jose Gavaldá-García, David Bickel, Joel Roca‐Martínez, Daniele Raimondi, Gabriele Orlando, Wim Vranken

The paper defines six low energy conformational states for amino acid residues using solution NMR data and introduces a variability parameter to assess conformational state transitions.

NAR Genomics and Bioinformatics · Jul 2, 2024Peer-reviewedBioinformatics