Author

Camille N. Lambert

Centre National de la Recherche ScientifiqueORCID 0000-0002-4805-1013Unclaimed 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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Approach:statistical model· 2 Assay:CUT&Tag· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein folding & dynamics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Francesco CalvaneseiD· 2 shared Francesco ZamponiiD· 2 shared Martin WeigtiD· 2 shared Philippe NgheiD· 2 shared Eric J. HaydeniD· 1 shared Matteo SmerlakiD· 1 shared Polina PavlinovaiD· 1 shared Vaitea OpuuiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersBiochemistry

Francesco CalvaneseORCID

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2 papers

Recent·Most cited

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

Camille N. Lambert, Vaitea Opuu, Francesco Calvanese, Polina Pavlinova, Francesco Zamponi, Eric J. Hayden, Martin Weigt, Matteo Smerlak, 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.

Nature Communications · Aug 22, 2025Peer-reviewedBiochemistry

Towards Parsimonious Generative Modeling of RNA Families

Francesco Calvanese, Camille N. Lambert, Philippe Nghe, Francesco Zamponi, Martin Weigt

This paper introduces eaDCA, a sparse generative model for RNA families that efficiently predicts functional sequences and mutation effects, showing comparable performance to complex methods with fewer parameters.

Nucleic Acids Research · Apr 5, 2024Peer-reviewedBioinformatics