Author

L. Scheller

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

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:protein design· 3 Research Focus:drug response / drug discovery· 2 Assay:protein sequence· 2 Assay:protein structure· 2 Approach:experimental assay· 1 Organism:human· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

S. Georgeon· 4 shared B. Correia· 3 shared P. Gainza· 3 shared S. Rosset· 3 shared A. Marchand· 2 shared C. Yang· 2 shared S. Shui· 2 shared A. Schneuing· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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4 shared papersBiochemistry

S. Georgeon

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

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

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