Predicting structure-targeted food bioactive compounds for middle-aged and elderly Asians with myocardial infarction: insights from genetic variations and bioinformatics-integrated deep learning analysis-Reference-Cited by-同舟云学术

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Predicting structure-targeted food bioactive compounds for middle-aged and elderly Asians with myocardial infarction: insights from genetic variations and bioinformatics-integrated deep learning analysis

Published:2024 Issue: Volume: Page:
ISSN:2042-6496
Container-title:Food & Function
language:en
Short-container-title:Food Funct.

Author:

Zhou Junyu¹^ORCID,Yuan Heng¹,Park Sunmin¹²^ORCID

Affiliation:

1. Department of Bioconvergence, Hoseo University, Asan 31499, Korea

2. Department of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan 31499, Korea

Abstract

Predicting food-derived bioactive compounds against myocardial infarction.

Funder

National Research Foundation of Korea

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/FO/D4FO00591K

Reference70 articles.

1. Heart failure after myocardial infarction: incidence and predictors

2. Myocardial ischemia and coronary disease in heart failure

3. Myocardial infarction with non-obstructive coronary arteries: A comprehensive review and future research directions

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