Li Aibo, Sun Haopeng, Du Lei, Wu Xiaoxin, Cao Jianqin, You Qidong, Li Yuyan
Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing, 210009, China.
J Mol Model. 2014 Nov;20(11):2515. doi: 10.1007/s00894-014-2515-y. Epub 2014 Nov 14.
The ubiquitin-proteasome pathway plays a pivotal role in the regulation of cellular protein processing and degradation. Proteasome inhibitors (PIs) have enormous potential to treat multiple myeloma, solid tumors, parasites, inflammation, and immune diseases, which is spurring the development of new types of PIs with enhanced efficacy, fewer side effects, and reduced drug resistance. Nevertheless, virtual screening for covalent PIs has rarely been reported because calculating the covalent binding energy is a challenging task. The aim of this study was to discover new covalent inhibitors of the 20S proteasome. The structures of PIs were manually divided into two parts: a noncovalent binding part resulting from virtual screening, and an epoxyketone group that was pre-selected as a covalent binding part. The SPECS database was screened by noncovalent docking and a pharmacophore model built with the 20S proteasome. After validating the covalent conjugation, 88 hits with epoxyketone were covalently docked into the 20S proteasome to analyze the intermolecular interactions. Four compounds were selected after multiple filtration and validations. Molecular dynamics simulations were performed to check the stability of the noncovalent and covalent docked ligand-enzyme complexes and investigate the interaction patterns of the screened inhibitors. Finally, two compounds with novel aromatic backbones, reasonable interactions, and stable covalent binding modes were retained. These compounds can serve as potential hits for further biological evaluation.
泛素-蛋白酶体途径在细胞蛋白质加工和降解的调节中起关键作用。蛋白酶体抑制剂(PIs)在治疗多发性骨髓瘤、实体瘤、寄生虫、炎症和免疫疾病方面具有巨大潜力,这推动了新型PIs的开发,这些新型PIs具有更高的疗效、更少的副作用和更低的耐药性。然而,由于计算共价结合能是一项具有挑战性的任务,因此关于共价PIs的虚拟筛选报道很少。本研究的目的是发现20S蛋白酶体的新型共价抑制剂。将PIs的结构手动分为两部分:通过虚拟筛选得到的非共价结合部分,以及预先选择作为共价结合部分的环氧酮基团。通过非共价对接和用20S蛋白酶体构建的药效团模型筛选SPECS数据库。在验证共价缀合后,将88个含环氧酮的命中物共价对接至20S蛋白酶体以分析分子间相互作用。经过多次筛选和验证后选择了4种化合物。进行分子动力学模拟以检查非共价和共价对接的配体-酶复合物的稳定性,并研究筛选出的抑制剂的相互作用模式。最后,保留了两种具有新型芳香骨架、合理相互作用和稳定共价结合模式的化合物。这些化合物可作为进一步生物学评估的潜在命中物。