This research uncovers inhibitory peptides affecting matrix metalloproteinases for antiaging, indicating potential therapeutic use.
The virtual strategy efficiently identified multifunctional antiaging peptides and could accelerate the discovery of bioactive peptides for cosmetic and therapeutic use. Additionally, its efficiency makes it useful for building high-quality training sets in deep-learning models for bioactive structure discovery.
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Wang et al. (2025) studied this question.
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