Disruptor of telomeric silencing 1-like (DOT1L): disclosing a new class of non-nucleoside inhibitors by means of ligand-based and structure-based approaches
作者:Manuela Sabatino、Dante Rotili、Alexandros Patsilinakos、Mariantonietta Forgione、Daniela Tomaselli、Fréderic Alby、Paola B. Arimondo、Antonello Mai、Rino Ragno
DOI:10.1007/s10822-018-0096-z
日期:2018.3
Chemical inhibition of chromatin-mediated signaling involved proteins is an established strategy to drive expression networks and alter disease progression. Protein methyltransferases are among the most studied proteins in epigenetics and, in particular, disruptor of telomeric silencing 1-like (DOT1L) lysine methyltransferase plays a key role in MLL-rearranged acute leukemia Selective inhibition of DOT1L is an established attractive strategy to breakdown aberrant H3K79 methylation and thus overexpression of leukemia genes, and leukemogenesis. Although numerous DOT1L inhibitors have been several structural data published no pronounced computational efforts have been yet reported. In these studies a first tentative of multi-stage and LB/SB combined approach is reported in order to maximize the use of available data. Using co-crystallized ligand/DOT1L complexes, predictive 3-D QSAR and COMBINE models were built through a python implementation of previously reported methodologies. The models, validated by either modeled or experimental external test sets, proved to have good predictive abilities. The application of these models to an internal library led to the selection of two unreported compounds that were found able to inhibit DOT1L at micromolar level. To the best of our knowledge this is the first report of quantitative LB and SB DOT1L inhibitors models and their application to disclose new potential epigenetic modulators.
通过化学抑制涉及染色质介导信号传导的蛋白质,已被确立为驱动表达网络和改变疾病进展的策略。蛋白质甲基转移酶是表观遗传学中研究最多的蛋白质之一,尤其是破坏端粒沉默1-样(DOT1L)赖氨酸甲基转移酶,在MLL重组的急性白血病中扮演关键角色。选择性抑制DOT1L是一种确立的有吸引力的策略,以打破异常的H3K79甲基化,从而抑制白血病基因的过度表达和白血病发生。尽管已经发表了多个DOT1L抑制剂的结构数据,但尚未报道显著的计算努力。在这些研究中,首次尝试了多阶段和LB/SB结合的方法,以最大限度地利用可用数据。利用共结晶的配体/DOT1L复合物,通过之前报道的方法的python实现,建立了预测性的3-D QSAR和COMBINE模型。这些模型,通过模型或实验的外部测试集验证,证明具有良好的预测能力。这些模型应用于内部库,导致选择两个未报告的化合物,发现它们能够在微摩尔水平抑制DOT1L。据我们所知,这是首次报道定量LB和SB DOT1L抑制剂模型及其应用于揭示新的潜在表观遗传调控因子。