Author

Cécile Le Sueur

European Molecular Biology LaboratoryORCID 0000-0001-7114-3744Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:protein design· 2 Research Focus:protein structure prediction· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Mikhail M. SavitskiiD· 2 shared Isabelle BecheriD· 1 shared Magnus RattrayiD· 1 shared Nils KurzawaiD· 1 shared Pablo Rivera-MejíasiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersMolecular Biology

Mikhail M. SavitskiORCID

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2 papers

Recent·Most cited

Molecular BiologybioRxivPreprintFeb 27, 2024

Subcellular thermal profiling enables the deep functional exploration of the mitochondrial proteome

Pablo Rivera-Mejías, Cécile Le Sueur, Nils Kurzawa…·Mikhail M. Savitski

The paper introduces mito-TPP, a thermal proteome profiling workflow for studying mitochondrial protein interactions and proteoforms, detecting over 180 proteins with multiple proteoform groups.

2 citations

proteomicsexperimental assay

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BioinformaticsbioRxivPreprintOct 26, 2023

Hierarchical Gaussian process models explore the dark meltome of thermal proteome profiling experiments.

Cécile Le Sueur, Magnus Rattray, Mikhail M. Savitski

The paper introduces GPMelt, a hierarchical Gaussian process model for analyzing TPP-TR datasets, enabling unbiased analysis of unconventional melting curves and improving the detection of protein interactions.

3 citations

proteomicsstatistical model

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