AOPxSVM: A Support Vector Machine for Identifying Antioxidant Peptides Using a Block Substitution Matrix and Amino Acid Composition, Transformation, and Distribution Embeddings

AOPxSVM: A Support Vector Machine for Identifying Antioxidant Peptides Using a Block Substitution Matrix and Amino Acid Composition, Transformation, and Distribution Embeddings

Antioxidant peptides (AOPs) have the natural properties of food preservatives; they are capable of improving the oxidation stability of food while also providing additional benefits such as disease prevention. Traditional experimental methods for identifying antioxidant peptides are time consuming a...

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Bibliographic Details
Main Authors: Rujun Li, Haotian Wang, Qiunan Yu, Jing Cai, Liangzhen Jiang, Ximei Luo, Quan Zou, Zhibin Lv
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Foods
Subjects:
antioxidant peptide identification
machine learning
feature engineering optimization
SVM
LGBM
Online Access:https://www.mdpi.com/2304-8158/14/12/2014
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