Author

A. Carbone

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Open access Sep 2026

Residue-level predictions of the protein-protein interactions of the hepatitis B virus core and envelope proteins

This work predicted the interactions between the capsid (Cp) and envelope proteins (S/M/LHBs) of the hepatitis B virus using a recently established mutation-driven deep-learning model, as well as coevolution signatures that serve as markers of physical interactions and/or functional relationships.

Carolanne van Belleghem, S. Rescalli, Mathilde Briday et al. · bioRxiv · 0 citations

Open access Jul 2026

X-PAIR: an ultrafast multitask framework for proteome-scale reconstruction of PPI networks and partner-specific interfaces from sequence

X-PAIR is presented, a sequence-based multitask deep learning framework that jointly predicts whether two proteins interact and identifies their partner-specific interface residues, and links proteome-scale interaction discovery to the residue-level determinants of partner-specific molecular recognition.

S. Rescalli, A. Carbone · bioRxiv · 0 citations

Open access Aug 2026

PLMView: collaborative protein language model representations for fast and scalable specialized protein function inference

Applications to thioredoxins, visual opsins, and Tara Oceans environmental diatom cold-shock proteins show that PLMView can move from interpretable residue-level determinants in well-studied protein families to large-scale environmental functional discovery, linking molecular specialization to ecological distribution a...

Vinh-Son Pho, Alessandro Natale Bianchi, Mattéo Scarsini et al. · bioRxiv · 0 citations