Mathematical Intelligence Application Lab, Institute for Mathematical Sciences, Renmin University of China, Beijing 100872, China.
Beijing Academy of Intelligence, Beijing 100083, China.
Genes (Basel). 2023 Feb 8;14(2):432. doi: 10.3390/genes14020432.
Intrinsically Disordered Proteins (IDPs) and Regions (IDRs) exist widely. Although without well-defined structures, they participate in many important biological processes. In addition, they are also widely related to human diseases and have become potential targets in drug discovery. However, there is a big gap between the experimental annotations related to IDPs/IDRs and their actual number. In recent decades, the computational methods related to IDPs/IDRs have been developed vigorously, including predicting IDPs/IDRs, the binding modes of IDPs/IDRs, the binding sites of IDPs/IDRs, and the molecular functions of IDPs/IDRs according to different tasks. In view of the correlation between these predictors, we have reviewed these prediction methods uniformly for the first time, summarized their computational methods and predictive performance, and discussed some problems and perspectives.
无定形蛋白质（IDPs）和区域（IDRs）广泛存在。虽然没有明确的结构，但它们参与许多重要的生物学过程。此外，它们还广泛与人类疾病有关，并成为药物发现的潜在靶点。然而，与 IDPs/IDRs 相关的实验注释与其实际数量之间存在很大差距。近几十年来，与 IDPs/IDRs 相关的计算方法得到了大力发展，包括预测 IDPs/IDRs、IDPs/IDRs 的结合模式、IDPs/IDRs 的结合位点和 IDPs/IDRs 的分子功能，根据不同的任务。鉴于这些预测器之间的相关性，我们首次对这些预测方法进行了统一回顾，总结了它们的计算方法和预测性能，并讨论了一些问题和展望。
