Li Guo-Bo, Yang Ling-Ling, Yuan Yiming, Zou Jun, Cao Yu, Yang Sheng-Yong, Xiang Rong, Xiang Mingli
State Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy, West China Hospital, West China Medical School, Sichuan University, Chengdu 610041, China.
School of Bioengineering, Xihua University, Chengdu 610039, China.
Methods. 2015 Jan;71:158-66. doi: 10.1016/j.ymeth.2014.11.010. Epub 2014 Nov 21.
Epigenetic modifications are critical mechanisms that regulate many biological processes and establish normal cellular phenotypes. Aberrant epigenetic modifications are frequently linked to the development and maintenance of several diseases including cancer, inflammation and metabolic diseases and so on. The key proteins that mediate epigenetic modifications have been thus recognized as potential therapeutic targets for these diseases. Consequently, discovery of small molecule inhibitors for epigenetic targets has received considerable attention in recent years. Here, virtual screening methods and their applications in the discovery of epigenetic target inhibitors are the focus of this review. Newly emerging approaches or strategies including rescoring methods, docking pose filtering methods, machine learning methods and 3D molecular similarity methods were also underlined. They are expected to be employed for identifying novel inhibitors targeting epigenetic regulation more efficiently.
表观遗传修饰是调控许多生物过程并建立正常细胞表型的关键机制。异常的表观遗传修饰常常与包括癌症、炎症和代谢疾病等多种疾病的发生和维持相关。因此,介导表观遗传修饰的关键蛋白已被视为这些疾病的潜在治疗靶点。相应地,近年来针对表观遗传靶点的小分子抑制剂的发现受到了广泛关注。在此,虚拟筛选方法及其在表观遗传靶点抑制剂发现中的应用是本综述的重点。还强调了新出现的方法或策略,包括重新评分方法、对接姿势筛选方法、机器学习方法和三维分子相似性方法。它们有望被用于更有效地鉴定靶向表观遗传调控的新型抑制剂。