Author

L. Abriata

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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Biochemistry· 2 Bioengineering· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Approach:deep learning· 2 Research Focus:host-pathogen & immune response· 2 Research Focus:protein design· 2 Assay:protein sequence· 2 Assay:proteomics· 2 Organism:bacteria (other)· 1 Approach:biophysical modeling· 1

Frequent Co-Authors

B. Correia· 2 shared C. Yang· 2 shared F. Sesterhenn· 2 shared J. Bonet· 2 shared J. Cramer· 2 shared M. Dal Peraro· 2 shared S. Georgeon· 2 shared S. Rosset· 2 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBioengineering

B. Correia

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Context-aware geometric deep learning for protein sequence design

L. Krapp, F. Meireles, L. Abriata, M. Dal Peraro

This paper introduces a geometric transformer model that predicts protein sequences from backbone scaffolds while considering molecular environment restraints.

Nature Communications · Jul 25, 2024Peer-reviewedBiochemistry

A thermostable phospholipase C obtained by consensus design

D. S. Val, L. Di NArdo, F. Marchisio, S. Peiru, M. E. Castelli, L. Abriata, H. G. Menzella, R. Rasia

This study stabilizes a bacterial phospholipase C through consensus sequence design, resulting in a thermostable variant suitable for industrial use.

bioRxiv · Oct 6, 2022Biochemistry

S-acylation controls SARS-Cov-2 membrane lipid organization and enhances infectivity

F. S. Mesquita, L. Abrami, O. Sergeeva, P. Turelli, B. Kunz, C. Raclot, J. Paz Montoya, L. Abriata, M. Dal Peraro, D. Trono, G. D'Angelo, F. G. van der Goot

The paper shows that S-acylation by ZDHHC20 modifies SARS-CoV-2 membrane proteins, promoting lipid domain formation and enhancing viral infectivity.

bioRxiv · Mar 14, 2021Cell Biology

A bottom-up approach for the de novo design of functional proteins

C. Yang, F. Sesterhenn, J. Bonet, E. v. Aalen, L. Scheller, L. Abriata, J. Cramer, X. Wen, S. Rosset, S. Georgeon, T. S. Jardetzky, T. Krey, M. Fussenegger, M. Merkx, B. Correia

This paper introduces a bottom-up method for designing functional proteins tailored to complex motifs, demonstrating their use as biosensors and signaling ligands.

bioRxiv · Mar 11, 2020 · PreprintBioengineering

De novo protein design enables precise induction of functional antibodies in vivo

F. Sesterhenn, C. Yang, J. Cramer, J. Bonet, X. Wen, L. Abriata, I. Kucharska, C.-I. Chiang, Y. Wang, G. Castoro, S. Vollers, M. Galloux, R. Charles-Adrien, E. Dheilly, S. Rosset, , B. Correia

This paper introduces a de novo protein design algorithm called TopoBuilder that generates immunogens inducing precise antibody responses against respiratory syncytial virus in mice and non-human primates.

bioRxiv · Feb 14, 2020 · PreprintBioengineering