Author

Christopher Frank

Technical University of MunichORCID 0009-0000-3315-1989Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein design· 2 Assay:protein structure· 2 Research Focus:benchmarking· 1 Organism:E. coli· 1 Approach:statistical model· 1

Frequent Co-Authors

Hendrik DietziD· 2 shared Sergey OvchinnikoviD· 2 shared Ali KhoshoueiiD· 1 shared Dominik Schiewitz· 1 shared Dominik SchiwietziD· 1 shared Lara Fuss· 1 shared Shihao FengiD· 1 shared Yosta de StigteriD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Hendrik DietzORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 21, 2024

Alphafold2 refinement improves designability of large de novo proteins

Christopher Frank, Dominik Schiwietz, Lara Fuss…·Hendrik Dietz

This paper introduces a protein design pipeline using AlphaFold2 and ProteinMPNN to refine large de novo protein backbones, improving structural integrity and designability.

8 citations

protein structuredeep learning

𝕏 PostBluesky

Synthetic BiologybioRxivPreprintFeb 24, 2023

Efficient and scalable de novo protein design using a relaxed sequence space

Christopher Frank, Ali Khoshouei, Yosta de Stigter…·Hendrik Dietz

This paper introduces a method for efficient de novo protein design using a relaxed sequence space approach, demonstrating successful experimental production of over 50 proteins with desired structural properties.

26 citations

E. coliprotein structure

𝕏 PostBluesky