StrucToxNet
Published in Zenodo (CERN European Organization for Nuclear Research) • Jun 5, 2025
NobleIDNI7P35W26R76S12
Authors:
Shihu Jiao
Abstract
StrucToxNet is a novel computational framework specifically designed to predict peptide toxicity by integrating both sequential and structural information. The model leverages a pre-trained protein language model, ProtT5, to extract rich sequential features from peptide sequences, and incorporates a...
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