Author

A. Ylinen

VTT Technical Research Centre of FinlandORCID 0000-0002-8954-3049Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

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Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Merja E. PenttiläiD· 1 shared Paula JouhteniD· 1 shared Sandra CastilloiD· 1 shared Tuula Tenkanen· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioengineering

Merja E. PenttiläORCID

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1 paper

Recent·Most cited

BioengineeringPLoS Computational BiologyPeer-reviewedMar 19, 2026

New-to-nature PHA synthase design using deep learning

Tuula Tenkanen, A. Ylinen, Paula Jouhten…·Sandra Castillo

This study uses a conditional variational autoencoder to design new-to-nature PHA synthases, which are validated for activity in yeast and show potential for expanding PHA material properties.

3 citations

protein sequencedeep learning

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