MMiKG: A Knowledge Graph-based Platform for Path Mining of Microbiota-Mental Diseases Interactions

The original datasets released in MMiKG, containing relevant information like PMID of labels and relations (triples).

Background:

Gut microbiota has been demonstrated to be crucial in gut-brain axis. In this research,  knowledge graphs was leveraged to aggregate and assimilate relevant information on the microbiome-gut-brain axis and its intricate relationships with mental diseases and formed a knowledge graph platform named MMiKG

  ► Advantages of MMiKG:

  Assist users in semantic search and visualization operations

  Make the scattered knowledge machine-readable and interpretable

  Boost users’ confidence in the accuracy of the information

  Support better decision-making

  ► What users can do with MMiKG:

Integrate diverse resources

Infer potential associations between gut microbiota and mental diseases

Tools:

MMiKG contains '770' entities and '1,257' triples among them. These items cover '20' common mental illnesses, '270' types of gut microbes, and '480' distinct intermediates.

  ► MMiKG's original data includes two folders:

     ♦ The labels folder:

Present information of each entity’s 'Id', 'Name', 'Degree', 'Type'

'Disease.csv',  'Intermediate.csv',  'Microbiota.csv

     ♦ The relationships folder: 

Present information of  'SourceId',  'TargetId',  'Number',  'Reference PMID'

'Disease.csv',  'Intermediate.csv',  'Microbiota.csv'