Author

Mathieu Blondel

Google (United States)ORCID 0000-0002-2366-2993Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Felipe Llinares-López· 1 shared Jean‐Philippe VertiD· 1 shared Olivier Teboul· 1 shared Quentin BerthetiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Felipe Llinares-López

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1 paper

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedDec 15, 2022

Deep embedding and alignment of protein sequences

Felipe Llinares-López, Quentin Berthet, Mathieu Blondel…·Jean‐Philippe Vert

This paper introduces DEDAL, a deep learning model for protein sequence alignment that improves accuracy on remote homologs compared to existing methods.

58 citationstop 4%

protein sequencedeep learning

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