Back to search

Article

Identification of candidate biomarkers and signaling pathways associated with Alzheimer's disease using bioinformatics analysis of next generation sequencing data and molecular docking studies

2025-10-15

Abstract excerpt

<title>Abstract</title> <p>Alzheimer's disease (AD) is the most common cause of dementia, and one of the most common health problems all over the world. However, the molecular mechanisms of AD remain incompletely understood. The current investigation aimed to elucidate potential key candidate genes and signaling pathways in AD. Next generation sequencing (NGS) dataset GSE203206 was downloaded from the Gene Expres...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8b3d77a4-90d0-57c6-9209-35f8d6eca25b
DOI
10.21203/rs.3.rs-7857157/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of candidate biomarkers and signaling pathways associated with Alzheimer's disease using bioinformatics analysis of next generation sequencing data and molecular docking studiesDOI 10.21203/rs.3.rs-7857157/v1
Identification of candidate biomarkers and signaling pathways associated with Alzheimer’s disease using bioinformatics analysis of next generation sequencing dataSemantic proximity
Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in Alzheimer’s diseaseSemantic proximity
Exploring the Key Genes and Identification of Potential Diagnosis Biomarkers in Alzheimer’s Disease Using Bioinformatics AnalysisSemantic proximity
Decoding Alzheimer’s Molecular Signatures through Bioinformatics and AI/ML-Assisted Structure-Based Discovery of SIRT2 Inhibitors for Alzheimer’s DiseaseSemantic proximity
Identification of Key Pathways and Genes in Dementia via Integrated Bioinformatics AnalysisSemantic proximity
Integrated identification of key genes and pathways in Alzheimer’s disease via comprehensive bioinformatical analysesSemantic proximity
Identifying Hub Genes and miRNAs Associated with Alzheimer’s Disease: A Bioinformatics Pathway to Novel Therapeutic StrategiesSemantic proximity
Comprehensive Analysis Reveals A Six-Gene Signature and Associated Drugs in Alzheimer DiseaseSemantic proximity
Identification of hub genes related to Alzheimer's disease by bioinformatics analysis and observation of the pathological characteristicsSemantic proximity
Identification and validation of oxidative stress and immune-related hub genes in Alzheimer’s disease through bioinformatics analysisSemantic proximity
Identification of oxidative stress-related genes differentially expressed in Alzheimer’s disease and construction of a hub gene-based diagnostic modelSemantic proximity
Bioinformatic identification and experiment validation reveal 6 hub genes, promising diagnostic and therapeutic targets for Alzheimer’s diseaseSemantic proximity
Select a neighboring publication to make it the new centre.