Bioinformatic Prediction and Characterization of Proteins in Porphyra dentata by Shotgun Proteomics

文献类型： 外文期刊

第一作者： Yang, Mingchang

作者： Yang, Mingchang;Yang, Xianqing;Li, Laihao;Chen, Shengjun;Qi, Bo;Wang, Yueqi;Li, Chunsheng;Yang, Shaoling;Zhao, Yongqiang;Yang, Mingchang;Ma, Lizhen;Yang, Mingchang;Yang, Xianqing;Li, Laihao;Chen, Shengjun;Qi, Bo;Wang, Yueqi;Yang, Shaoling;Zhao, Yongqiang;Yang, Xianqing;Li, Laihao;Li, Chunsheng;Zhao, Yongqiang

作者机构：

关键词： Porphyra dentata; proteomics; amino acid metabolism; carbohydrate metabolism; bioactive peptides

期刊名称：FRONTIERS IN NUTRITION （ 影响因子：6.59； 五年影响因子：6.873 ）

ISSN： 2296-861X

年卷期： 2022 年 9 卷

页码：

收录情况： SCI

摘要： Porphyra dentata is an edible red seaweed with high nutritional value. It is widely cultivated and consumed in East Asia and has vast economic benefits. Studies have found that P. dentata is rich in bioactive substances and is a potential natural resource. In this study, label-free shotgun proteomics was first applied to identify and characterize different harvest proteins in P. dentata. A total of 13,046 different peptides were identified and 419 co-expression target proteins were characterized. Bioinformatics was used to study protein characteristics, functional expression, and interaction of two important functional annotations, amino acid, and carbohydrate metabolism. Potential bioactive peptides, protein structure, and potential ligand conformations were predicted, and the results suggest that bioactive peptides may be utilized as high-quality active fermentation substances and potential targets for drug production. Our research integrated the global protein database, the first time bioinformatic analysis of the P. dentata proteome during different harvest periods, improves the information database construction and provides a framework for future research based on a comprehensive understanding.

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