Author

Dominik Schiewitz

Technical University of Munich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Ali KhoshoueiiD· 1 shared Christopher FrankiD· 1 shared Hendrik DietziD· 1 shared Sergey OvchinnikoviD· 1 shared Shihao FengiD· 1 shared Yosta de StigteriD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperSynthetic Biology

Ali KhoshoueiORCID

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1 paper

Recent·Most cited

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

Christopher Frank, Ali Khoshouei, Yosta de Stigter, Dominik Schiewitz, Shihao Feng, Sergey Ovchinnikov, 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.

bioRxiv · Feb 24, 2023 · PreprintSynthetic Biology