Author

Sabrina Cotogno

Centre National de la Recherche ScientifiqueORCID 0000-0002-7440-8071Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2 Approach:deep learning· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Francesco ZamponiiD· 2 shared Martin WeigtiD· 2 shared Matteo BisardiiD· 2 shared D. Lee· 1 shared John Z. CheniD· 1 shared Leonardo Di BariiD· 1 shared Nobuhiko TokurikiiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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2 shared papersBiochemistry

Francesco ZamponiORCID

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2 papers

Recent·Most cited

BiochemistryNature CommunicationsPeer-reviewedSep 30, 2024

Understanding epistatic networks in the B1 -lactamases through coevolutionary statistical modeling and deep mutational scanning

John Z. Chen, Matteo Bisardi, D. Lee…·Nobuhiko Tokuriki

The paper uses coevolutionary analysis and deep mutational scanning to study epistatic networks in B1-lactamases, revealing both conserved and specific interactions across homologs.

19 citations

proteomicsdeep learning

𝕏 PostBluesky

Evolutionary BiologyProceedings of the National Academy of SciencesPeer-reviewedSep 26, 2024

Emergent time scales of epistasis in protein evolution

Leonardo Di Bari, Matteo Bisardi, Sabrina Cotogno…·Francesco Zamponi

This paper introduces a data-driven epistatic model of protein evolution that reproduces sequence statistics across different time scales and uncovers the collective nature of epistasis.

35 citationstop 2%

protein sequencestatistical model

𝕏 PostBluesky