{"id":192,"date":"2016-01-28T08:13:21","date_gmt":"2016-01-28T13:13:21","guid":{"rendered":"http:\/\/datapunk.net\/opus23blog\/?p=192"},"modified":"2016-01-28T08:13:36","modified_gmt":"2016-01-28T13:13:36","slug":"agency","status":"publish","type":"post","link":"https:\/\/datapunk.net\/opus23blog\/2016\/01\/28\/agency\/","title":{"rendered":"Agency"},"content":{"rendered":"

The Agency app in Opus 23 takes pharmacogenomics to the next level. Relying on the extensive Opus 23 database of published research detailing gene expression data linked to natural products, Agency provides a visual representation of their interactions web. Multiple agents can be displayed, allowing the clinician to synthesis multi-target strategies. <\/p>\n

In the image above we see the expression pattern for co-enzyme Q10, a powerful anti-oxidant. Co-enzyme Q10 (COQ10) is the light green node in the center. The tan nodes surrounding it are the genes that interact with COQ10: Red edges (connecting lines) with a ‘T-bar’ indicate that COQ10 inhibits the expression of that gene. Green edges with an arrow indicate that COQ10 enhances the expression of that gene. Genes with a reddish color indicate that they may have compromised function in the current active client in Opus 23. Other agents with especially high abilities to influence the expression of any genes associated with COQ10 are at the periphery of the map and colored gray.<\/p>\n

A few examples that can be gleaned from the map:<\/p>\n