Author

Carlos A. Gandarilla-Pérez

Centre National de la Recherche ScientifiqueORCID 0000-0002-6797-4104Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1 Approach:simulation· 1

Frequent Co-Authors

Anne‐Florence BitboliD· 2 shared Martin WeigtiD· 2 shared Pierre MergnyiD· 1 shared Sergio Pinilla· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersBioinformatics

Anne‐Florence BitbolORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedMar 30, 2023

Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins

Carlos A. Gandarilla-Pérez, Sergio Pinilla, Anne‐Florence Bitbol, Martin Weigt

The paper combines phylogeny and coevolution to improve the inference of interaction partners among paralogous proteins, showing significant performance gains in challenging scenarios.

13 citations

protein sequencestatistical model

𝕏 PostBluesky

BioinformaticsPhysical review. EPeer-reviewedMar 20, 2020

Statistical physics of interacting proteins: impact of dataset size and quality assessed in synthetic sequences

Carlos A. Gandarilla-Pérez, Pierre Mergny, Martin Weigt, Anne‐Florence Bitbol

The paper evaluates how dataset size and quality affect protein-protein interaction inference using synthetic data and shows quadratic scaling relationships.

8 citations

protein sequencestatistical model

𝕏 PostBluesky