GraphCPP: The new state-of-the-art method for cell-penetrating peptide prediction via graph neural networks.
Journal:
British journal of pharmacology
Published Date:
Nov 20, 2024
Abstract
BACKGROUND AND PURPOSE: Cell-penetrating peptides (CPPs) are short amino acid sequences that can penetrate cell membranes and deliver molecules into cells. Several models have been developed for their discovery, yet these models often face challenges in accurately predicting membrane penetration due to the complex nature of peptide-cell interactions. Hence, there is a need for innovative approaches that can enhance predictive performance.