Author

Simon M. Meng

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

Click to filter author papers

Synthetic Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Bastian WagneriD· 1 shared Bruno E. CorreiaiD· 1 shared Cédric R. WeberiD· 1 shared Christian Jordi· 1 shared Derek M. MasoniD· 1 shared Pablo GaínzaiD· 1 shared Sai T. ReddyiD· 1 shared Simon Friedensohn· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperSynthetic Biology

Bastian WagnerORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

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