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Enhancing link prediction in biomedical knowledge graphs with BioPathNet

1 month 2 weeks ago
Understanding complex interactions in biomedical networks is crucial for advancements in biomedicine, but traditional link prediction (LP) methods are limited in capturing this complexity. We present BioPathNet, a graph neural network framework based on the neural Bellman-Ford network (NBFNet), addressing limitations of traditional representation-based learning methods through path-based reasoning for LP in biomedical knowledge graphs. Unlike node-embedding frameworks, BioPathNet learns...
Emy Yue Hu

Proteolysis-targeting chimera (PROTAC): a promising senolytic strategy

1 month 2 weeks ago
Senescent cells (SCs) accumulate with aging and contribute to the development of age-related pathologies. These cells evade apoptosis through upregulation of senescent cell anti-apoptotic pathways (SCAPs), making their selective elimination, a strategy termed senolysis, a promising therapeutic avenue. Proteolysis-targeting chimeras (PROTACs) represent an emerging class of bifunctional molecules that exploit the ubiquitin-proteasome system to degrade specific target proteins. By concurrently...
Gang Fan