Author

S. Georgeon

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· 5 Biochemistry· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 6 Assay:protein structure· 6 Research Focus:protein design· 5 Research Focus:drug response / drug discovery· 4 Approach:experimental assay· 3 Organism:human· 2 Assay:protein sequence· 2 Approach:biophysical modeling· 1

Frequent Co-Authors

S. Rosset· 6 shared B. Correia· 4 shared L. Scheller· 4 shared P. Gainza· 4 shared A. Marchand· 3 shared B. E. Correia· 3 shared C. Yang· 3 shared E. Oricchio· 2 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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6 shared papersBioengineering

S. Rosset

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Accurate single domain scaffolding of three non-overlapping protein epitopes using deep learning

K. M. Castro, J. L. Watson, J. Wang, J. Southern, R. Ayardulabi, S. Georgeon, S. Rosset, D. Baker, B. E. Correia

This paper designs small single domain proteins that present three distinct viral epitopes using deep learning, showing improved immunogenicity compared to single-epitope designs.

bioRxiv · May 7, 2024 · PreprintBioengineering

Targeting protein-ligand neosurfaces using a generalizable deep learning approach

A. Marchand, S. Buckley, A. Schneuing, M. Pacesa, P. Gainza, E. Elizarova, R. M. Neeser, P.-W. Lee, L. Reymond, M. Elia, L. Scheller, S. Georgeon, J. Schmidt, P. Schwaller, S. J. Maerkl, , B. E. Correia

This paper designs proteins that target neosurfaces from protein-ligand complexes using a deep learning approach, validated experimentally against three drug-bound protein complexes.

bioRxiv · Mar 25, 2024 · PreprintBiochemistry

Rational design of chemically controlled antibodies and protein therapeutics

A. Marchand, L. Bonati, S. Shui, L. Scheller, P. Gainza, S. Rosset, S. Georgeon, L. Tang, B. Correia

This study designs and tests small molecule-controlled switchable protein therapeutics by optimizing protein interactions and demonstrating in vitro and in vivo controllability with Venetoclax.

bioRxiv · Dec 22, 2022 · PreprintBioengineering

De novo design of site-specific protein interactions with learned surface fingerprints

P. Gainza, S. Wehrle, A. Van Hall-Beauvais, A. Marchand, A. Scheck, Z. Harteveld, D. Ni, S. Tan, F. Sverrisson, C. Goverde, P. Turelli, C. Raclot, A. Teslenko, M. Pacesa, S. Rosset, , B. E. Correia

This paper designs novel protein interactions using geometric deep learning to generate surface fingerprints, achieving nanomolar affinity for four targets through computational and experimental methods.

bioRxiv · Jun 16, 2022 · PreprintBioengineering

A rational blueprint for the design of chemically-controlled protein switches

S. Shui, P. Gainza, L. Scheller, C. Yang, Y. Kurumida, S. Georgeon, S. Rosset, B. Correia

This paper presents a computational strategy to design chemically-controlled protein switches using drug-inhibited interactions, expanding chemical space for synthetic circuits in mammalian cells.

bioRxiv · Jan 21, 2021Biochemistry

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

Btk SH2-kinase interface is critical for allosteric kinase activation and its targeting inhibits B-cell neoplasms

D. P. Duarte, A. J. Lamontanara, G. La Sala, S. Jeong, Y.-K. Sohn, A. Panjkovich, S. Georgeon, T. Kukenshoner, M. J. Marcaida, F. Pojer, M. De Vivo, D. Svergun, H.-S. Kim, M. Dal Peraro, O. Hantschel

This study identifies the Btk SH2-kinase interface as critical for activation and shows that targeting it with a repebody inhibits B-cell neoplasms.

bioRxiv · Dec 10, 2019Cancer Biology