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APPARATUS AND METHOD FOR ASSESSING EFFECTS OF DRUGS BASED ON NETWORKS

机译:基于网络的药物作用评估装置和方法

摘要

Disclosed is a network-based drug efficacy-assessing method, and an apparatus. The method comprises: computing a score for association between drugs and diseases by means of at least one of drug-adjacency-based inference, disease-adjacency-based inference, and module-distance-based inference; building a classifier for determining whether the drug is associated with the disease, using machine learning in which the score is employed as a feature; and determining the association between the drug and the disease by use of the classifier. The method and apparatus can search for drug-disease relation in which a drug can exert its pharmaceutical efficacy on a disease on the basis of a network constructed from protein interaction databases and protein-gene association databases, and can evaluate the molecular interaction of the drug to find out new pharmaceutical effects of the drug with higher precision and sensitivity, whereby a time and cost for the development of new drugs can be reduced.
机译:公开了一种基于网络的药物疗效评估方法和装置。该方法包括:通过基于药物邻接的推断,基于疾病邻接的推断和基于模块距离的推断中的至少一个来计算药物与疾病之间的关联的分数;以及使用将分数作为特征的机器学习,建立用于确定药物是否与疾病相关的分类器;以及通过使用分类器确定药物与疾病之间的关联。该方法和装置可以搜索药物-疾病关系,其中药物可以基于由蛋白质相互作用数据库和蛋白质-基因关联数据库构建的网络来对疾病发挥其药效,并且可以评估药物的分子相互作用。从而发现该药物具有更高的精确度和敏感性的新的药物作用,从而可以减少开发新药物的时间和成本。

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