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    • 8. 发明授权
    • Systems and methods for using adverse event data to predict potential side effects
    • 使用不良事件数据预测潜在副作用的系统和方法
    • US09235686B2
    • 2016-01-12
    • US13446912
    • 2012-04-13
    • David JacksonTheodoros SoldatosGuillaume TaglangAlexander ZienStephan Brock
    • David JacksonTheodoros SoldatosGuillaume TaglangAlexander ZienStephan Brock
    • G01N33/48G06F19/00G06F19/18
    • G06F19/345G06F19/00G06F19/18G06F19/326G06F19/3437G16H50/20G16H50/50
    • 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.
    • 本公开描述了用于预测甚至新的未经检验的药物的可能的副作用特征的系统和方法。 可以基于影响相同或相关分子实体的其它药物(例如附近靶蛋白,涉及相同途径)的副作用分布的交叉点或者以其他方式相似的方式产生预测的副作用分布。 为了产生针对新颖或先前未靶向的蛋白质靶标的新药物的预测副作用特征,分析器可以查询不良事件数据库以获得关于已经服用药物或靶向或影响分子实体的药物组合的患者的记录 在全局分子实体图中的新靶标的附近,并且在一些实施例中,可以检索多个不利事件记录并产生与相关目标相关联的副作用的交集,以预测新颖目标的可能副作用。