Cheng Liang, Jiang Yue, Wang Zhenzhen, Shi Hongbo, Sun Jie, Yang Haixiu, Zhang Shuo, Hu Yang, Zhou Meng
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, PR China.
Hospital for Sick Children, Toronto, Canada.
Sci Rep. 2016 Jul 26;6:30024. doi: 10.1038/srep30024.
The similarity of pair-wise diseases reveals the molecular relationships between them. For example, similar diseases have the potential to be treated by common therapeutic chemicals (TCs). In this paper, we introduced DisSim, an online system for exploring similar diseases, and comparing corresponding TCs. Currently, DisSim implemented five state-of-the-art methods to measure the similarity between Disease Ontology (DO) terms and provide the significance of the similarity score. Furthermore, DisSim integrated TCs of diseases from the Comparative Toxicogenomics Database (CTD), which can help to identify potential relationships between TCs and similar diseases. The system can be accessed from http://123.59.132.21:8080/DisSim.
成对疾病的相似性揭示了它们之间的分子关系。例如,相似的疾病有可能由共同的治疗性化学物质(TCs)进行治疗。在本文中,我们介绍了DisSim,一个用于探索相似疾病并比较相应TCs的在线系统。目前,DisSim实现了五种先进方法来测量疾病本体论(DO)术语之间的相似性,并提供相似性得分的显著性。此外,DisSim整合了来自比较毒理基因组学数据库(CTD)的疾病TCs,这有助于识别TCs与相似疾病之间的潜在关系。该系统可从http://123.59.132.21:8080/DisSim访问。