Author

Markus Mergen

Technical University of MunichORCID 0009-0007-7753-2784Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Alba Schmahl Fernandez· 1 shared Andrea SchmidtsiD· 1 shared Andreas CarriD· 1 shared Daniela Abele· 1 shared Dirk Hans BuschiD· 1 shared Florian C. BassermanniD· 1 shared Julian GrünewaldiD· 1 shared Karl‐Ludwig LaugwitziD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

Alba Schmahl Fernandez

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintNov 25, 2024

Engineering de novo binder CAR-T cell therapies with generative AI

Markus Mergen, Daniela Abele, Naile Koleci…·Andrea Schmidts

This paper demonstrates the use of generative AI to design de novo binders for CAR-T cells targeting cancer antigens, showing comparable efficacy to traditional scFv-based CAR-T cells.

10 citations

humanproteomics

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