Author

Vykintas Jauniškis

Chalmers University of TechnologyORCID 0000-0002-4537-6840Unclaimed 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 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Aleksej ZelezniakiD· 2 shared Jan ZrimeciD· 2 shared Audrius LaurynėnasiD· 1 shared Azam Sheikh MuhammadiD· 1 shared Christoph S BörliniD· 1 shared Christos SkrekasiD· 1 shared Devdatt DubhashiiD· 1 shared Donatas RepeckaiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersSynthetic Biology

Aleksej ZelezniakORCID

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2 papers

Recent·Most cited

Supervised generative design of regulatory DNA forgene expression control

Jan Zrimec, Xiaozhi Fu, Azam Sheikh Muhammad, Christos Skrekas, Vykintas Jauniškis, Nora K. Speicher, Christoph S Börlin, Vilhelm Verendel, Morteza Haghir Chehreghani, Devdatt Dubhashi, Verena Siewers, Florian David, Jens Nielsen, Aleksej Zelezniak

This paper introduces ExpressionGAN, a deep learning model that generates functional regulatory DNA with specified expression levels, outperforming random mutagenesis approaches.

Nature Communications · Aug 30, 2022Peer-reviewedSynthetic Biology

Expanding functional protein sequence space using generative adversarial networks

Donatas Repecka, Vykintas Jauniškis, Laurynas Karpus, Elzbieta Rembeza, Irmantas Rokaitis, Jan Zrimec, Simona Povilonienė, Audrius Laurynėnas, Sandra Viknander, Wissam Abuajwa, Otto I. Savolainen, Rolandas Meškys, Martin K. M. Engqvist, Aleksej Zelezniak

This paper introduces ProteinGAN, a GAN that generates functional protein sequences, showing 24% of generated sequences are soluble and active in vitro.

Nature Machine Intelligence · Mar 4, 2021Peer-reviewedSynthetic Biology