Related Experiment Video
Updated: Oct 15, 2025
05:47
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
730
BrainBase: a curated knowledgebase for brain diseases
Lin Liu1,2, Yang Zhang1,2,3, Guangyi Niu1,2,3
1National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Nucleic Acids Research
|October 31, 2021
Summary
BrainBase is a new knowledgebase for brain diseases, offering comprehensive disease-gene and drug-target data. It aids research into neurological disorders and potential treatments.
Area of Science:
- Neuroscience
- Genomics
- Bioinformatics
Background:
- Brain diseases significantly impact human health.
- A centralized, curated resource for brain disease information is needed.
Purpose of the Study:
- To introduce BrainBase, a comprehensive knowledgebase for brain diseases.
- To integrate disease-gene associations, drug-target interactions, and gene expression data.
- To provide molecular profiles for glioma research.
Main Methods:
- Manual curation of 2768 articles and data retrieval from public databases.
- Integration of 7175 disease-gene associations, 16,591 drug-target interactions, and gene expression data.
- Analysis of 21 multi-omics datasets for glioma.
Main Results:
- BrainBase contains 7175 disease-gene associations for 123 brain diseases and 5662 genes.
- It includes 16,591 drug-target interactions for 2118 drugs/chemicals and 623 genes.
- Identified four groups of glioma-featured genes with potential clinical significance.
Conclusions:
- BrainBase serves as a valuable, integrated knowledgebase for brain disease research.
- The resource facilitates understanding of disease-gene relationships and drug targets.
- Multi-omics data analysis in BrainBase offers insights into glioma molecular profiles.
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