Multi-omics analysis of druggable genes to facilitate Alzheimer's disease therapy: A multi-cohort machine learning study

This study provides a notable advancement to the existing literature by offering genetic evidence that underscores the potential therapeutic advantages of focusing on the druggable gene LIMK2 in the treatment of AD. This insight not only contributes to our understanding of AD but also guides future drug discovery efforts.

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Publication Details

Journal
The Journal of Prevention of Alzheimer s Disease
Published
2025-03-11
DOI
https://doi.org/10.1016/j.tjpad.2025.100128
Citations
5
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
4.03
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article

Multi-omics analysis of druggable genes to facilitate Alzheimer's disease therapy: A multi-cohort machine learning study

Jichang Hu, Yong Luo, Xiaochuan Wang
5 citations
The Journal of Prevention of Alzheimer s Disease
Bioinformatics and Genomic Networks
4.03
article

Multi-omics analysis of druggable genes to facilitate Alzheimer's disease therapy: A multi-cohort machine learning study

Jichang Hu, Yong Luo, Xiaochuan Wang
article en
5 citations

Abstract

This study provides a notable advancement to the existing literature by offering genetic evidence that underscores the potential therapeutic advantages of focusing on the druggable gene LIMK2 in the treatment of AD. This insight not only contributes to our understanding of AD but also guides future drug discovery efforts.

The Journal of Prevention of Alzheimer s DiseaseVol. 12(6)
Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 7%
Bioinformatics and Genomic Networks
4.03
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