Author

Polina Pavlinova

Centre National de la Recherche ScientifiqueORCID 0000-0003-4269-5632Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Francesco CalvaneseiD· 2 shared Martin WeigtiD· 2 shared Philippe NgheiD· 2 shared Camille N. LambertiD· 1 shared Eric J. HaydeniD· 1 shared Francesco ZamponiiD· 1 shared Giovanni Peinetti· 1 shared Matteo SmerlakiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 31 mutual co-author links

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2 shared papersBiochemistry

Francesco CalvaneseORCID

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2 papers

Recent·Most cited

BiochemistryNature CommunicationsPeer-reviewedAug 22, 2025

Expanding the space of self-reproducing RNAs using probabilistic generative models

Camille N. Lambert, Vaitea Opuu, Francesco Calvanese…·Philippe Nghe

The paper uses probabilistic generative models to estimate the number of self-reproducing RNAs and finds that at least 10^39 such ribozymes may exist.

13 citations

DNA methylationwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedAug 8, 2025

Integrating experimental feedback improves generative models for biological sequences

Francesco Calvanese, Giovanni Peinetti, Polina Pavlinova…·Martin Weigt

The paper improves generative models for biological sequences by integrating experimental feedback, increasing functional sequence generation from 6.7% to 63.7% in ribozyme design.

6 citations

protein sequenceDNA methylation

𝕏 PostBluesky