Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic cardiomyopathy

Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic cardiomyopathy

Abstract This study looked at possible targets for hypertrophic cardiomyopathy (HCM), a condition marked by thickening of the ventricular wall, primarily in the left ventricle. We employed differential gene analysis and weighted gene co-expression network analysis (WGCNA) on samples. We then carried...

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Bibliographic Details
Main Authors: Jia-lin Chen, Di Xiao, Yi-jiang Liu, Zhan Wang, Zhi-huang Chen, Rui Li, Li Li, Rong-hai He, Shu-yan Jiang, Xin Chen, Lin-xi Xu, Feng-chun Lu, Jia-mao Wang, Zhong-gui Shan
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Hypertrophic cardiomyopathy
Immune microenvironment
Machine learning
Mitochondrial dysfunction
Molecular docking
Bioinformatics
Online Access:https://doi.org/10.1038/s41598-025-97534-x
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