Advances in machine learning screening of food bioactive compounds-Reference-Cited by-同舟云学术

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Advances in machine learning screening of food bioactive compounds

Published:2024-08 Issue: Volume:150 Page:104578
ISSN:0924-2244
Container-title:Trends in Food Science & Technology
language:en
Short-container-title:Trends in Food Science & Technology

Author:

Zhang Yiyun,Bao Xin,Zhu Yiqing,Dai Zijian,Shen Qun,Xue Yong^ORCID

Publisher

Elsevier BV

Reference95 articles.

1. Screening of potential antidiabetic phytochemicals from Gongronema latifolium leaf against therapeutic targets of type 2 diabetes mellitus: Multi-targets drug design;Ajiboye;SN Applied Sciences,2022

2. Nutrition and health;Astley,2016

3. Nature is the best source of anti-inflammatory drugs: Indexing natural products for their anti-inflammatory bioactivity;Aswad;Inflammation Research,2018

4. Prediction of therapeutic peptides using machine learning: Computational models, datasets, and feature encodings;Attique;IEEE Access,2020

5. Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening;Basith;Medicinal Research Reviews,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transplanting network pharmacology technology into food science research: A comprehensive review on uncovering food‐sourced functional factors and their health benefits;Comprehensive Reviews in Food Science and Food Safety;2024-09

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