Institute of Computational Medicine, School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China.
Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing 100191, China.
Nucleic Acids Res. 2019 Jul 2;47(W1):W536-W541. doi: 10.1093/nar/gkz328.
MicroRNAs (miRNAs) are one class of important small non-coding RNA molecules and play critical roles in health and disease. Therefore, it is important and necessary to evaluate the functional relationship of miRNAs and then predict novel miRNA-disease associations. For this purpose, here we developed the updated web server MISIM (miRNA similarity) v2.0. Besides a 3-fold increase in data content compared with MISIM v1.0, MISIM v2.0 improved the original MISIM algorithm by implementing both positive and negative miRNA-disease associations. That is, the MISIM v2.0 scores could be positive or negative, whereas MISIM v1.0 only produced positive scores. Moreover, MISIM v2.0 achieved an algorithm for novel miRNA-disease prediction based on MISIM v2.0 scores. Finally, MISIM v2.0 provided network visualization and functional enrichment analysis for functionally paired miRNAs. The MISIM v2.0 web server is freely accessible at http://www.lirmed.com/misim/.
微小 RNA（miRNA）是一类重要的小非编码 RNA 分子，在健康和疾病中发挥着关键作用。因此，评估 miRNA 的功能关系并预测新的 miRNA-疾病关联非常重要和必要。为此，我们在这里开发了更新的 miRNA 相似性（MISIM）v2.0 网络服务器。与 MISIM v1.0 相比，MISIM v2.0 的数据内容增加了 3 倍，同时通过实施正 miRNA-疾病关联和负 miRNA-疾病关联改进了原始的 MISIM 算法。也就是说，MISIM v2.0 的分数可以是正的或负的，而 MISIM v1.0 只产生正分数。此外，MISIM v2.0 基于 MISIM v2.0 分数实现了一种新的 miRNA-疾病预测算法。最后，MISIM v2.0 为功能配对的 miRNA 提供了网络可视化和功能富集分析。MISIM v2.0 网络服务器可免费访问：http://www.lirmed.com/misim/。
