Overlapping Community Detection on a Graph of Chemicals, Diseases and Genes for Drug Repositioning and Adverse Reactions Prediction
作者: María Elena García-OchagavíaYudivián Almeida-CruzSuilán Estévez-VelardeAimée Alonso-ReinaMaría Elena Ochagavía-Roque
作者单位: 1Universidad de La Habana
2Centro de Ingeniería Genética y Biotecnología
刊名: International Journal of Knowledge and Technology Management, 2019, Vol.7 (2), pp.80-96
来源数据库: Revista Internacional de Gestión del Conocimiento y la Tecnología
关键词: Drug repositioningAdverse reactionsOverlapping community detectionBiological network
英文摘要: Developing a drug from scratch is a very long and expensive process that has a small probability of success. For this reason, pharmaceutical companies are devoting their efforts to find drugs that could be repositioned. When using a drug to treat a disease is necessary to consider what adverse reactions it may cause, this is why the prediction of adverse reactions is highly related to drug repositioning. We propose the detection of overlapping communities over a biological network of chemicals, diseases and genes in order to find drug-disease pairs that could be used as basis for later drug repositioning and adverse reactions prediction analysis. Of the evaluated overlapping community detection algorithms, OSLOM got the best results, producing 724 communities from which was possible to...
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