非编码RNA(non-coding RNA,ncRNA)是基因组转录产生的一类不编码蛋白质的RNA分子,涵盖微小RNA(microRNA,miRNA)和长链非编码RNA(long non-coding RNA,lncRNA)等多种类型, 在基因表达、细胞发育和疾病发生和发展中扮演着重要的调控角色, 是一类新型的潜在药物靶点。小分子药物作为临床治疗的关键手段,通过与特定靶点相互作用,在多种复杂疾病治疗过程中发挥关键作用。采用智能计算方法预测潜在的ncRNA 与小分子药物的关联对于药物研发、疾病治疗策略的拓展以及生物学机制的解析均具有重要意义。本文综述了预测ncRNA 与小分子药物关联的智能计算方法的研究进展,并对其未来发展方向进行了展望。

Non-coding RNA (ncRNA) is a class of RNA molecules transcribed from the genome that do not encode proteins, encompassing various types such as microRNA (miRNA) and long non-coding RNA (lncRNA). These RNAs play pivotal regulatory roles in gene expression, cellular development, and the onset and progression of diseases, and are considered as novel potential drug targets. Small molecule drugs, as key methods of clinical treatment, exert therapeutic effects by interacting with specific targets and play a crucial role in the treatment of various complex diseases. Leveraging intelligent computing methods to predict the potential associations between ncRNAs and small molecule drugs is of significant importance for developing novel drugs, expanding therapeutic strategies, and elucidating biological mechanisms. This article reviews the research progress on intelligent computing methods for predicting the associations between ncRNAs and small molecule drugs, and provides insights into their future development directions.