Exploring novel ANGICon-EIPs through ameliorated peptidomics techniques: Can deep learning strategies as a core breakthrough in peptide structure and function prediction?-Reference-Cited by-同舟云学术

Exploring novel ANGICon-EIPs through ameliorated peptidomics techniques: Can deep learning strategies as a core breakthrough in peptide structure and function prediction?

Published:2023-12 Issue: Volume:174 Page:113640
ISSN:0963-9969
Container-title:Food Research International
language:en
Short-container-title:Food Research International

Author:

Jia Wei^ORCID,Peng Jian,Zhang Yan,Zhu Jiying,Qiang Xin,Zhang Rong,Shi Lin

Publisher

Elsevier BV

Subject

Food Science

Reference112 articles.

1. Characterization of casein-derived peptide bioactivity: Differential effects on angiotensin-converting enzyme inhibition and cytokine and nitric oxide production;Adams;Journal of Dairy Science,2020

2. Purification and fractionation of bioactive peptides through membrane filtration: A critical and application review;Alavi;Trends in Food Science & Technology,2023

3. A state-of-art review on camel milk proteins as an emerging source of bioactive peptides with diverse nutraceutical properties;Ali Redha;Food Chemistry, Part A,2022

4. Solid-phase extraction of organic compounds: A critical review. part ii;Andrade-Eiroa;TrAC Trends in Analytical Chemistry,2016

5. Semisupervised Machine Learning for Sensitive Open Modification Spectral Library Searching;Arab;Journal of Proteome Research,2023

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