Alnabulsi Soraya, Al-Hurani Enas A, Al-Shar'i Nizar A, El-Elimat Tamam
Department of Medicinal Chemistry and Pharmacognosy, Faculty of Pharmacy, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan.
Department of Medicinal Chemistry and Pharmacognosy, Faculty of Pharmacy, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan.
J Mol Graph Model. 2019 Dec;93:107440. doi: 10.1016/j.jmgm.2019.107440. Epub 2019 Aug 27.
The lysine specific demethylase enzyme LSD1 regulates the function of histone proteins in cells through the demethylation of specific lysine amino acid residues. Being overexpressed in various cancers, LSD1 is considered as a validated target for cancer treatment. In this study, we describe the discovery of novel LSD1 inhibitors using computational fragment-based drug design approach. Structure-based screening of the Maybridge Ro3 2000 Diversity Fragment Library had identified two sets of fragments that bind to two different regions within the LSD1 active site. De Novo and Multiple Copy Simultaneous search (MCSS) docking, ligand efficiency (LE), and binding energy calculations (BE) had assisted the selection of the best scoring fragments that were grown to produce lead-like compounds. The final grown compounds were docked into the active site of the enzyme using flexible docking and their total binding energies were calculated in order to aid the selection of potential LSD1 inhibitors that will be synthesized and biologically evaluated. Six compounds were synthesized and biologically tested, of which two had showed a promising activity against LSD1. Compound 37, with an amino-carboxamide benzothiazole scaffold, showed the best inhibitory activity with an IC value of 18.4 μM. Compound 37 was chosen as an LSD1 hit inhibitor worthy of further optimization.
赖氨酸特异性去甲基化酶LSD1通过特定赖氨酸氨基酸残基的去甲基化作用来调节细胞中组蛋白的功能。由于LSD1在多种癌症中过表达,它被认为是癌症治疗的一个经过验证的靶点。在本研究中,我们描述了使用基于计算片段的药物设计方法发现新型LSD1抑制剂的过程。对Maybridge Ro3 2000多样性片段库进行基于结构的筛选,确定了两组与LSD1活性位点内两个不同区域结合的片段。从头算和多拷贝同时搜索(MCSS)对接、配体效率(LE)和结合能计算(BE)有助于选择得分最高的片段,这些片段经过拓展以生成类先导化合物。使用柔性对接将最终拓展得到的化合物对接至酶的活性位点,并计算它们的总结合能,以帮助选择将被合成并进行生物学评估的潜在LSD1抑制剂。合成并对六种化合物进行了生物学测试,其中两种对LSD1显示出有前景的活性。具有氨基甲酰胺苯并噻唑支架的化合物37表现出最佳抑制活性,IC值为18.4 μM。化合物37被选为值得进一步优化的LSD1命中抑制剂。