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基于结构的虚拟筛选、ADMET 预测和分子动力学研究鉴定人源蛋氨酸氨肽酶(II 型)抑制剂用于癌症治疗

Identification of potential inhibitors of human methionine aminopeptidase (type II) for cancer therapy: Structure-based virtual screening, ADMET prediction and molecular dynamics studies.

机构信息

Department of Bioinformatics and Genetics, Faculty of Engineering and Natural Science, Kadir Has University, 34083 Cibali Campus Fatih, Istanbul, Turkey; Computational Biology and Bioinformatics Department, Faculty of Science and Engineering, Koç University 34083 Rumelifeneri Mahallesi, Sariyer Rumeli Feneri Yolu, 34450 Sariyer, Istanbul, Turkey.

Department of Bioinformatics and Genetics, Faculty of Engineering and Natural Science, Kadir Has University, 34083 Cibali Campus Fatih, Istanbul, Turkey; Complex System Division, Beijing Computational Science Research Center, Beijing 100193, China.

出版信息

Comput Biol Chem. 2020 Jun;86:107244. doi: 10.1016/j.compbiolchem.2020.107244. Epub 2020 Mar 2.

Abstract

Methionine Aminopeptidases MetAPs are divalent-cofactor dependent enzymes that are responsible for the cleavage of the initiator Methionine from the nascent polypeptides. MetAPs are classified into two isoforms: namely, MetAP1 and MetAP2. Several studies have revealed that MetAP2 is upregulated in various cancers, and its inhibition has shown to suppress abnormal or excessive blood vessel formation and tumor growth in model organisms. Clinical studies show that the natural product fumagillin, and its analogs are potential inhibitors of MetAP2. However, due to their poor pharmacokinetic properties and neurotoxicities in clinical studies, their further developments have received a great setback. Here, we apply structure-based virtual screening and molecular dynamics methods to identify a new class of potential inhibitors for MetAP2. We screened Otava's Chemical Library, which consists of about 3 200 000 tangible-chemical compounds, and meticulously selected the top 10 of these compounds based on their inhibitory potentials against MetAP2. The top hit compounds subjected to ADMET predictor using 3 independent ADMET prediction programs, were found to be drug-like. To examine the stability of ligand binding mode, and efficacy, the unbound form of MetAP2, its complexes with fumagillin, spiroepoxytriazole, and the best promising compounds compound-3369841 and compound-3368818 were submitted to 100 ns molecular dynamics simulation. Like fumagillin, spiroepoxytriazole, and both compound-3369841 and compound-3368818 showed stable binding mode over time during the simulations. Taken together, these uninherited-fumagillin compounds may serve as new class of inhibitors or provide scaffolds for further optimization towards the design of more potent MetAP2 inhibitors -development of such inhibitors would be essential strategy against various cancer types.

摘要

甲硫氨肽酶 MetAPs 是二价辅因子依赖性酶,负责从新生多肽中切割起始甲硫氨酸。MetAPs 分为两种同工型:MetAP1 和 MetAP2。多项研究表明,MetAP2 在各种癌症中上调,其抑制作用已显示可抑制模型生物中异常或过度的血管形成和肿瘤生长。临床研究表明,天然产物呋喃那斯丁及其类似物是 MetAP2 的潜在抑制剂。然而,由于它们在临床研究中的较差药代动力学特性和神经毒性,它们的进一步发展受到了很大的阻碍。在这里,我们应用基于结构的虚拟筛选和分子动力学方法来鉴定一类新的潜在 MetAP2 抑制剂。我们筛选了 Otava 的化学库,其中包含约 320 万种有形化学化合物,并根据它们对 MetAP2 的抑制潜力精心选择了这些化合物中的前 10 名。使用 3 个独立的 ADMET 预测程序对前命中化合物进行 ADMET 预测器筛选,结果发现它们具有类药性。为了检查配体结合模式和功效的稳定性,将未结合形式的 MetAP2 及其与呋喃那斯丁、螺环环氧三唑和最有前途的化合物 compound-3369841 和 compound-3368818 的复合物提交给 100ns 分子动力学模拟。与呋喃那斯丁、螺环环氧三唑以及化合物 3369841 和化合物 3368818 一样,它们在模拟过程中均表现出稳定的结合模式。综上所述,这些非遗传呋喃那斯丁化合物可能作为新型抑制剂或提供进一步优化的支架,以设计更有效的 MetAP2 抑制剂——此类抑制剂的开发将是对抗各种癌症类型的重要策略。

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