ArticlePloS one2012
MK4MDD: a multi-level knowledge base and analysis platform for major depressive disorder.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- TranDep: a transcriptomics atlas of depression.Molecular psychiatry · 2026Article
- MDDOmics: multi-omics resource of major depressive disorder.Database : the journal of biological databases and curation · 2024Article
- ICBrainDB: An Integrated Database for Finding Associations between Genetic Factors and EEG Markers of Depressive Disorders.Journal of personalized medicine · 2022Article
- An integrative network analysis framework for identifying molecular functions in complex disorders examining major depressive disorder as a test case.Scientific reports · 2021Article
- Sex differences in the genetic architecture of depression.Scientific reports · 2020Article
- Transcriptional consequences of MBD5 disruption in mouse brain and CRISPR-derived neurons.Molecular autism · 2020Article
- Analyzing the genes and pathways related to major depressive disorder via a systems biology approach.Brain and behavior · 2020Article
- Article
- A new locus regulating MICALL2 expression was identified for association with executive inhibition in children with attention deficit hyperactivity disorder.Molecular psychiatry · 2018Article
- Network analysis reveals a stress-affected common gene module among seven stress-related diseases/systems which provides potential targets for mechanism research.Scientific reports · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
backgroundMajor depressive disorder (MDD) is a complex neuropsychiatric syndrome with high heterogeneity. There are different levels of biological components that underlie MDD and interact with each other. To uncover the disease mechanism, large numbers of studies at different levels have been conducted. There is a growing need to integrate data from multiple levels of research into a database to provide a systematic review of current research results. The cross level integration will also help bridge gaps of different research levels for further understanding on MDD. So far, there has been no such effort for MDD. DESCRIPTIONS: We offer researchers a Multi-level Knowledge base for MDD (MK4MDD) to study the interesting interplay of components in the pathophysiological cascade of MDD from genetic variations to diagnostic syndrome. MK4MDD contains 2,341 components and 5,206 relationships between components based on reported experimental results obtained by diligent literature reading with manual curation. All components were well classified with careful curation and supplementary annotation. The powerful search and visualization tools make all data in MK4MDD form a cross-linked network to be applied to a broad range of both basic and applied research.
conclusionsMK4MDD aims to provide researchers with a central knowledge base and analysis platform for MDD etiological and pathophysiological mechanisms research. MK4MDD is freely available at http://mdd.psych.ac.cn.
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