发明授权
US09235686B2 Systems and methods for using adverse event data to predict potential side effects
有权
使用不良事件数据预测潜在副作用的系统和方法
- 专利标题: Systems and methods for using adverse event data to predict potential side effects
- 专利标题(中): 使用不良事件数据预测潜在副作用的系统和方法
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申请号: US13446912申请日: 2012-04-13
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公开(公告)号: US09235686B2公开(公告)日: 2016-01-12
- 发明人: David Jackson , Theodoros Soldatos , Guillaume Taglang , Alexander Zien , Stephan Brock
- 申请人: David Jackson , Theodoros Soldatos , Guillaume Taglang , Alexander Zien , Stephan Brock
- 申请人地址: DE Heidelberg
- 专利权人: MOLECULAR HEALTH GMBH
- 当前专利权人: MOLECULAR HEALTH GMBH
- 当前专利权人地址: DE Heidelberg
- 代理机构: Foley & Lardner LLP
- 代理商 Daniel E. Rose
- 主分类号: G01N33/48
- IPC分类号: G01N33/48 ; G06F19/00 ; G06F19/18
摘要:
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.
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