Hyperbolic graph autoencoder-based functional protein network analysis for preserving edible biodiversity in endangered food species

Abstract Protein function prediction, protein–protein interaction (PPI) prediction, and complex identification are essential tasks in bioinformatics and play a critical role in understanding biological mechanisms underlying food traits such as stress resistance, nutritional content, and resilience....

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Autori principali:	Haewon Byeon, Ajith Sundaram, Komatigunta Nagaraju, Elangovan Muniyandy, Mukesh Soni, Mohammed Wasim Bhatt, Mulugeta Tesema
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2025-12-01
Serie:	Discover Food
Soggetti:	Bioinformatics Graph autoencoder Protein–protein interaction Protein function prediction Hyperbolic space Fermi-Dirac function
Accesso online:	https://doi.org/10.1007/s44187-025-00700-3
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