Author

Yosta de Stigter

Eindhoven University of TechnologyORCID 0009-0008-3514-6698Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Synthetic Biology· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Ali KhoshoueiiD· 1 shared Christopher FrankiD· 1 shared Dominik Schiewitz· 1 shared Hendrik DietziD· 1 shared Maarten MerkxiD· 1 shared Sergey OvchinnikoviD· 1 shared Shihao FengiD· 1 shared Tallie Godschalk· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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1 shared paperSynthetic Biology

Ali KhoshoueiORCID

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2 papers

Recent·Most cited

Synthetic BiologybioRxivPreprintDec 16, 2025

De novo design of protein competitors for small molecule immunosensing

Yosta de Stigter, Tallie Godschalk, Maarten Merkx

The paper designs protein competitors for small molecule detection using deep learning, demonstrating effective binders for digoxin detection.

DOI 10.64898/2025.12.16.694474

protein sequencedeep 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