Author

Anastasiia Shcherbakova

Institute of Cancer Research

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

Biology Disciplines

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Synthetic Biology· 2

Signature Assays, Organisms & Methods

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Organism:E. coli· 2 Assay:whole-genome sequencing· 2 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:genome assembly· 1 Research Focus:software / tool· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Chris P. BarnesiD· 2 shared Angus G Cunningham· 1 shared Claire S. Grierson· 1 shared Daniel W. A. BuchaniD· 1 shared Kieren Sharma· 1 shared Linda DekkeriD· 1 shared Lucia Marucci· 1 shared Yige Chen· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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8 top collaborators · 18 mutual co-author links

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2 shared papersSynthetic Biology

Chris P. BarnesORCID

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2 papers

Recent·Most cited

Synthetic BiologybioRxivPreprintDec 7, 2025

Generative design and construction of functional plasmids with a DNA language model

Angus G Cunningham, Linda Dekker, Anastasiia Shcherbakova, Chris P. Barnes

This paper develops a pipeline to generate functional E. coli plasmids using a DNA language model, resulting in three validated synthetic plasmids.

4 citations

E. coliDNA methylation

𝕏 PostBluesky

Synthetic BiologybioRxivPreprintOct 22, 2024

Designing minimal E. coli genomes using variational autoencoders

Anastasiia Shcherbakova, Kieren Sharma, Yige Chen…·Chris P. Barnes

This study uses variational autoencoders to generate minimal E. coli genomes, finding 6 out of 100 sampled genomes were viable in a computational model.

DOI 10.1101/2024.10.22.619620

E. coliwhole-genome sequencing

𝕏 PostBluesky