Systems and methods for using adverse event data to predict potential side effects

US9235686B2 · kind B2 · utility

Assignee

• Molecular Health GmbH · DE

Inventors

• David Brian Jackson · Spanish Fork, US
• Theodoros Soldatos · Heidelberg, DE
• Guillaume Taglang · Heidelberg, DE
• Alexander Zien · Heidelberg, DE
• Stephan Brock · Weinheim, DE

Key dates

• Filing date: Apr 13, 2012
• Grant date: Jan 12, 2016
• Expiry date: Nov 11, 2032

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H70/40
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

The present disclosure describes systems and methods for predicting a likely side effect profile for even new, untested medications. A predicted side effect profile may be generated based on intersections of side effect profiles of other medications that affect the same or related molecular entities, such as the nearby target proteins, involve the same pathways, or are otherwise similarly related. To generate a predicted side effect profile for a new drug targeting a novel or previously un-targeted protein target, an analyzer may query an adverse event database for records pertaining to patients who have taken drugs or combinations of drugs that target or affect molecular entities in the vicinity of the novel target within a global molecular entity graph, and, in some embodiments, may retrieve a plurality of adverse event records and generate an intersection of side effects associated with related targets to predict likely side effects for the novel target.