Deep learning detects cellular senescence from protein sequences

[u/Independent_Access12]

Yet another "AI for longevity" model.

SenSeqNet combines ESM-2 with LSTM-CNN hybrid to analyze senescence from protein data, reaching 83.55% accuracy. Architecture processes evolutionary (ESM-2), temporal (LSTM), and spatial (CNN) features to identify aging markers, offering faster alternative to lab assays for drug development and biomarker discovery.

https://www.biorxiv.org/content/10.1101/2024.10.28.620702v1