Machine learning analysis of ARVC informed by sodium channel protein-based interactome networks

Machine learning analysis of ARVC informed by sodium channel protein-based interactome networks

BackgroundArrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited cardiac disorder characterized by sodium channel dysfunction. However, the clinical management of ARVC remains challenging. Identifying novel compounds for the treatment of ARVC is crucial for advancing drug development...

Full description

Saved in:
Bibliographic Details
Main Authors: Yanan Zhu, Hui Zhang, Xuan Zhao, Xin Wang, Lina Xing, Sijie Yao, Xiao Jin, Tingting Li, Ting Dai, Xinyue Ding, Zhen Qi, Zongjun Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Pharmacology
Subjects:
ARVC
sodium channel protein
machine learning
protein-protein interaction
binding affinity
cardiac organoids
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2025.1611342/full
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2025.1611342/full

Similar Items