Utilising bioinformatics and molecular docking technology to explore the underlying mechanisms of intervertebral disc degeneration with potential therapeutic drugs and formulas.

ABSTRACT:

Background

Intervertebral disc degeneration (IDD) is prevalent in orthopaedics, yet lacks effective treatments. This study seeks to discover potential therapeutic targets for IDD to inform clinical therapies and traditional medicine approaches.

Methods

In this study, IDD-related data sets were sourced from the Gene Expression Omnibus, and differential expression analysis was performed to identify differentially expressed genes. Subsequently, candidate genes associated with IDD were recognised using databases such as GeneCards, OMIM, DrugBank, and DisGeNET, with further validation of these genes' biological functions and involvement in signalling pathways through enrichment analyses. Additionally, machine learning algorithms were applied to select candidate targets. The diagn

SUBMITTER: Yukui T 

PROVIDER: S-EPMC12635788 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature