SysNatMed: rational natural medicine discovery by systems genetics.

ABSTRACT:

Background

Although acknowledged as an important complement to modern medicine, the utility of natural medicine (NM) remains under-exploited. We aimed to develop a novel data-driven approach for natural medicine discovery.

Methods

GWAS summary statistics of disease (Alzheimer's disease, i.e., AD, for the case study) and quantitative trait loci were collected from public sources. The ranking of disease-gene associations was established using summary-based Mendelian randomization. The comprehensive hierarchical relationships among ingredients, natural products, and target genes were compiled from the BATMAN-TCM v2.0 database. Based on the ranking of disease-gene associations and the comprehensive hierarchical relationships among ingredients, natural products, and target genes,

SUBMITTER: Ye CQ 

PROVIDER: S-EPMC11911470 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature