Author

J. Bonet

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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Bioengineering· 2 Cancer Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1 Organism:non-human primate· 1

Frequent Co-Authors

B. Correia· 3 shared C. Yang· 3 shared F. Sesterhenn· 3 shared S. Rosset· 3 shared D. Descamps· 2 shared J. Cramer· 2 shared J.-f. Eleouet· 2 shared L. Abriata· 2 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioengineering

B. Correia

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

A deep learning approach for improved detection of homologous recombination deficiency from shallow genomic profiles

G. Andre, T. Coletta, C. Pozzorini, A. C. Marques, J. Bieler, R. Kempfer, C. Chong, A. Saitta, E. Smith, M. Macheret, A. Janiszewski, X. Bonilla, J. Bonet, H. Santos-Silva, M. Postl, , Z. Xu

This paper introduces a deep learning model to detect homologous recombination deficiency from shallow whole genome sequencing data, achieving high accuracy comparable to deeper sequencing methods.

bioRxiv · Jul 6, 2022 · PreprintCancer 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

Boosting subdominant neutralizing antibody responses with a computationally designed epitope-focused immunogen

F. Sesterhenn, M. Galloux, S. S. Vollers, L. Csepregi, C. Yang, D. Descamps, J. Bonet, S. Friedensohn, P. Gainza, P. Corthesy, M. Chen, S. Rosset, M.-A. Rameix-Welti, J.-F. Eleouet, S. T. Reddy, , B. Correia

This study demonstrates that a computationally designed epitope-focused immunogen enhances subdominant neutralizing antibody responses against RSV.

bioRxiv · Nov 22, 2018Immunology