Author

Simon Friedensohn

ETH Zurich

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· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:mouse· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Derek M. MasoniD· 2 shared Sai T. ReddyiD· 2 shared Bastian WagneriD· 1 shared Bruno E. CorreiaiD· 1 shared Cédric R. WeberiD· 1 shared Christian Jordi· 1 shared Daniel Neumeier· 1 shared Lena ErlachiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioengineering

Derek M. MasonORCID

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2 papers

Recent·Most cited

Antibody affinity engineering using antibody repertoire data and machine learning

Lena Erlach, Simon Friedensohn, Daniel Neumeier, Derek M. Mason, Sai T. Reddy

This study uses antibody repertoire data and machine learning to predict and engineer antibody affinities, achieving accurate predictions and successful in silico design of seven out of eight synthetic variants.

bioRxiv · Jan 10, 2025 · PreprintBioengineering

Deep learning enables therapeutic antibody optimization in mammalian cells by deciphering high-dimensional protein sequence space

Derek M. Mason, Simon Friedensohn, Cédric R. Weber, Christian Jordi, Bastian Wagner, Simon M. Meng, Pablo Gaínza, Bruno E. Correia, Sai T. Reddy

Mammalian display of CRISPR-introduced trastuzumab mutant libraries trains a network that picks antigen binders out of a hundred-million-variant virtual library; 30 of 30 tested variants bound.

bioRxiv · Jun 2, 2019 · PreprintSynthetic Biology