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Machine learning-based peptide material design strategies to enhance tumor targeting and therapy
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DOI：10.1016/j.bioadv.2026.215097.png)
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Abstract
En 中文
• The core framework of machine learning-assisted peptide material design. • Machine learning enhances the design of tumor targeting and anti-tumor peptide materials. • Professional databases and algorithm support the development of machine learning. • Applications-oriented perspective for the rational design of tumor-targeting peptide materials.
Keywords:
Machine learning
Tumor targeting
Cancer therapy
Peptide material
Biomaterials
Journal
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6
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1.9K
Citations:
6.0K
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