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Phylogenetic correlations can suffice to infer protein partners from sequences

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Phylogenetic correlations can suffice to infer protein partners from sequences

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Towards automating de novo protein design for novel functionalities: controlling protein folds and protein-protein interactions

Correlations from structure and phylogeny combine constructively in the inference of protein partners from sequences

Protein language models trained on multiple sequence alignments learn phylogenetic relationships

Bringing Functional Context to Emerging Proximity-mapping Proteomics Tools

SPServer: split-statistical potentials for the analysis of protein structures and protein-protein interactions

On the use of direct-coupling analysis with a reduced alphabet of amino acids combined with super-secondary structure motifs for protein fold prediction

MPGM: Scalable and Accurate Multiple Network Alignment

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

Breaking the Fourth Wall: Modulating Quaternary Associations for Protein Regulation and Drug Discovery

Inferring interaction partners from protein sequences using mutual information