ArticleNucleic acids research2022
BrainBase: a curated knowledgebase for brain diseases.
Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Charting the human-specific properties of gene expression networks in the infant prefrontal cortex.Science advances · 2026Article
- Regional and aging-specific cellular architecture of non-human primate brains.Genome medicine · 2025Article
- Review of autism spectrum disorder databases for the identification of candidate genes.Database : the journal of biological databases and curation · 2025Review
- SRADHO: statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence.Scientific reports · 2025Article
- A Network Pharmacology Prediction and Molecular Docking-Based Strategy to Explore the Potential Pharmacological Mechanism ofInternational journal of molecular sciences · 2023Article
- Integrated analysis of robust sex-biased gene signatures in human brain.Biology of sex differences · 2023Article
- Brain Catalog: a comprehensive resource for the genetic landscape of brain-related traits.Nucleic acids research · 2023Article
- Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022.Nucleic acids research · 2022Article
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Authors and funding
16 authors.
Funding
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Abstract
Brain is the central organ of the nervous system and any brain disease can seriously affect human health. Here we present BrainBase (https://ngdc.cncb.ac.cn/brainbase), a curated knowledgebase for brain diseases that aims to provide a whole picture of brain diseases and associated genes. Specifically, based on manual curation of 2768 published articles along with information retrieval from several public databases, BrainBase features comprehensive collection of 7175 disease-gene associations spanning a total of 123 brain diseases and linking with 5662 genes, 16 591 drug-target interactions covering 2118 drugs/chemicals and 623 genes, and five types of specific genes in light of expression specificity in brain tissue/regions/cerebrospinal fluid/cells. In addition, considering the severity of glioma among brain tumors, the current version of BrainBase incorporates 21 multi-omics datasets, presents molecular profiles across various samples/conditions and identifies four groups of glioma featured genes with potential clinical significance. Collectively, BrainBase integrates not only valuable curated disease-gene associations and drug-target interactions but also molecular profiles through multi-omics data analysis, accordingly bearing great promise to serve as a valuable knowledgebase for brain diseases.
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