Open access
Aug 2026
Artificial intelligence-driven prediction and design of cell-penetrating peptides for advanced drug delivery system
An artificial intelligence-driven framework that integrates biochemical rules derived from large language models (LLMs) with conventional peptide descriptors for CPP prediction and design is developed and demonstrates that combining LLM-derived biochemical knowledge with machine learning improves interpretable CPP prediction and candidate prioritisation.
Bo Yu, Yue Lu, Ze-Ying Kuang et al.
· Frontiers in Pharmacology · 0 citations