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鉴定 1,3,4-噁二唑类化合物为靶向微管的抗癌剂:基于联合场的 3D-QSAR、基于药效团模型的虚拟筛选、分子对接、分子动力学模拟和密度泛函理论计算方法。

Identification of 1,3,4-oxadiazoles as tubulin-targeted anticancer agents: a combined field-based 3D-QSAR, pharmacophore model-based virtual screening, molecular docking, molecular dynamics simulation, and density functional theory calculation approach.

机构信息

Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Bathinda, India.

Department of Chemistry, Central University of Punjab, Bathinda, India.

出版信息

J Biomol Struct Dyn. 2024;42(19):10323-10341. doi: 10.1080/07391102.2023.2256876. Epub 2023 Sep 11.

DOI:10.1080/07391102.2023.2256876
PMID:37695635
Abstract

Cancer is one of the most prominent causes of death worldwide and tubulin is a crucial protein of cytoskeleton that maintains essential cellular functions including cell division as well as cell signalling, that makes an attractive drug target for cancer drug development. 1,3,4-oxadiazoles disrupt microtubule causing G2-M phase cell cycle arrest and provide anti-proliferative effect. In this study, field-based 3D-QSAR models were developed using 62 bioactive anti-tubulin 1,3,4-oxadiazoles. The best model characterized by PLS factor 7 was rigorously validated using various statistical parameters. Generated 3D-QSAR model having high degree of confidence showed favourable and unfavourable contours around 1,3,4-oxadiazole core that assisted in defining proper spatial positioning of desired functional groups for better bioactivity. A five featured pharmacophore model (AAHHR_1) was developed using same ligand library and validated through enrichment analysis (BEDROC160.9 value = 0.59, Average EF 1% = 27.05, and AUC = 0.74). Total 30,212 derivatives of 1,3,4-oxadiazole obtained from PubChem database was prefiltered through validated pharmacophore model and docked in XP mode on binding cavity of tubulin protein (PDB code: 1SA0) which led into the identification of 11 HITs having docking scores between -7.530 and -9.719 kcal/mol while the reference compound Colchicine exerted docking score of -7.046 kcal/mol. Following the analysis of MM-GBSA and ADME studies, HIT1 and HIT4 emerged as the two promising hits. To verify their thermodynamic stability at the target site, molecular dynamic simulations were carried out. Both HITs were further subjected to DFT analysis to determine their HOMO-LUMO energy gap for ensuring their biological feasibility. Finally, molecular docking based structural exploration for 1,3,4-oxadiazoles to set up a lead of Formula I for further advancements of tubulin polymerization inhibitors as anti-cancer agents.Communicated by Ramaswamy H. Sarma.

摘要

癌症是全球主要死因之一,微管蛋白是细胞骨架的关键蛋白,维持着包括细胞分裂和细胞信号转导在内的基本细胞功能,使其成为癌症药物开发的有吸引力的药物靶点。1,3,4-恶二唑类化合物破坏微管,导致 G2-M 期细胞周期停滞,并具有抗增殖作用。在这项研究中,使用 62 种具有生物活性的抗微管蛋白 1,3,4-恶二唑类化合物开发了基于现场的 3D-QSAR 模型。最好的模型由 PLS 因子 7 来严格验证,使用了各种统计参数。生成的 3D-QSAR 模型具有高度置信度,显示了 1,3,4-恶二唑核心周围有利和不利的等高线,有助于确定所需功能基团的适当空间定位,以获得更好的生物活性。使用相同的配体库开发了一个具有五个特征的药效团模型(AAHHR_1),并通过富集分析进行了验证(BEDROC160.9 值=0.59、平均 EF1%=27.05 和 AUC=0.74)。从 PubChem 数据库中获得的 1,3,4-恶二唑的 30,212 个衍生物通过验证的药效团模型进行了预筛选,并在 XP 模式下对接在微管蛋白(PDB 代码:1SA0)的结合腔内,从而确定了 11 个具有 -7.530 至-9.719kcal/mol 之间对接分数的 HIT,而参考化合物秋水仙碱的对接分数为-7.046kcal/mol。在进行 MM-GBSA 和 ADME 研究分析后,HIT1 和 HIT4 成为两个有前途的命中。为了验证它们在靶位的热力学稳定性,进行了分子动力学模拟。对 HITs 进行了进一步的 DFT 分析,以确定它们的 HOMO-LUMO 能隙,以确保其生物可行性。最后,基于分子对接的结构探索,对 1,3,4-恶二唑进行了研究,为进一步开发作为抗癌药物的微管蛋白聚合抑制剂建立了一个先导式结构 I。由 Ramaswamy H. Sarma 传达。

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