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

<p><strong>The original datasets released in MMiKG, containing relevant information like PMID of labels and relations (triples).</strong></p> <p><strong>Background:</strong></p> <p>Gut microbiota has been demonstrated to be crucial in gut-brain axis. In this research, &nbsp;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</p> <p>&nbsp; ► <strong>Advantages of MMiKG:</strong></p> <ul> <li>&nbsp; Assist users in semantic search and visualization operations</li> <li>&nbsp; Make the scattered knowledge machine-readable and interpretable</li> <li>&nbsp; Boost users&rsquo; confidence in the accuracy of the information</li> <li>&nbsp; Support better decision-making</li> </ul> <p>&nbsp; ► <strong>What users can do with MMiKG:</strong></p> <ul> <li>Integrate diverse resources</li> <li>Infer potential associations between gut microbiota and mental diseases</li> </ul> <p><strong>Tools:</strong></p> <p>MMiKG contains &#39;770&#39;&nbsp;entities and &#39;1,257&#39;&nbsp;triples among them. These items cover &#39;20&#39;&nbsp;common mental illnesses, &#39;270&#39;&nbsp;types of gut microbes, and &#39;480&#39; distinct intermediates.</p> <p>&nbsp; ► <strong>MMiKG&#39;s original data includes two folders:</strong></p> <p>&nbsp; &nbsp; &nbsp;&diams; The labels folder:</p> <ul> <li>Present information of each entity&rsquo;s &#39;Id&#39;, &#39;Name&#39;, &#39;Degree&#39;, &#39;Type&#39;</li> <li>&#39;Disease.csv&#39;,&nbsp; &#39;Intermediate.csv&#39;,&nbsp; &#39;Microbiota.csv</li> </ul> <p>&nbsp; &nbsp; &nbsp;&diams; The relationships folder:&nbsp;</p> <ul> <li>Present information of &nbsp;&#39;SourceId&#39;,&nbsp; &#39;TargetId&#39;,&nbsp; &#39;Number&#39;,&nbsp; &#39;Reference PMID&#39;</li> <li>&#39;Disease.csv&#39;,&nbsp; &#39;Intermediate.csv&#39;,&nbsp; &#39;Microbiota.csv&#39;&nbsp;</li> </ul>