Author

Petr Popov

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Open access Jul 2026

Multivalent ion binding site identification with structure-based deep learning

BiteNetI is a structure-based deep learning model that uses 3D convolutional neural networks to simultaneously localize ion-binding centers and predict binding residues for 14 biologically relevant ions, supporting comprehensive and large-scale annotation of protein-ion interactions.

Igor Kozlovskii, Petr Popov · Communications Biology · 0 citations

Open access Jul 2026

OrgNet+: towards robust protein stability prediction with convolutional neural networks

OrgNet+, a conformational ensemble-aware and orientation-gnostic framework that explicitly incorporates protein structure flexibility during training, is introduced, which substantially reduces intra-ensemble prediction variance while simultaneously improving predictive accuracy.

A. Sarycheva, Aleksandr Shumilov, Petr Popov · Bioinformatics · 0 citations