Author

Frédérique Dewitte

Centre National de la Recherche Scientifique

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Biochemistry· 1

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Organism:Arabidopsis· 1 Approach:deep learning· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

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Alexis VergeriD· 1 shared Didier MontéiD· 1 shared Vincent VilleretiD· 1 shared Zoé Lens· 1 shared

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Alexis VergerORCID

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Recent·Most cited

BiochemistryFEBS LettersPeer-reviewedMar 4, 2024

Assessment of machine-learning predictions for MED25 ACID domain interactions with transactivation domains

Didier Monté, Zoé Lens, Frédérique Dewitte…·Alexis Verger

The paper evaluates deep learning predictions of MED25-TAD interactions, finding high reliability for H1 interface predictions but inconsistencies for H2, and identifies a unique hydrophobic pocket in Arabidopsis MED25.

2 citations

humanArabidopsis

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