Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy

Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy

Abstract Tyrosinase plays a crucial role as an enzyme in the production of melanin, which is the pigment accountable for determining the color of the hair, eyes, and skin. Tyrosinase inhibitory peptides (TIPs), mainly designed to regulate the activity of the enzyme tyrosinase, are of interest in var...

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Bibliographic Details
Main Authors: Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, Saeed Ahmed, Pramote Chumnanpuen
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Tyrosinase inhibitory peptides
Sequence analysis
Bioinformatics
Machine learning
Feature selection
Multi-view feature
Online Access:https://doi.org/10.1038/s41598-024-81807-y
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https://doi.org/10.1038/s41598-024-81807-y

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