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基于计算机药物重定位策略的宫颈癌进展潜在诱导型一氧化氮合酶抑制剂的筛选与鉴定

Screening and Identification of Potential iNOS Inhibitors to Curtail Cervical Cancer Progression: an In Silico Drug Repurposing Approach.

机构信息

Department of Genetics & Biotechnology, University College of Science, Osmania University, Hyderabad, Telangana, 500007, India.

Division of Life Sciences, Division of Applied Life Science (BK21 Plus), Research Institute of Natural Science (RINS), Gyeongsang National University (GNU), 501 Jinju-daero, Jinju, 52828, South Korea.

出版信息

Appl Biochem Biotechnol. 2022 Jan;194(1):570-586. doi: 10.1007/s12010-021-03718-2. Epub 2021 Oct 27.

Abstract

Cervical cancer is the second most common cause of cancer deaths in women worldwide and remains the main reason of mortality among women of reproductive age in developing countries. Nitric oxide is involved in several physiological functions inclusive of inflammatory and immune responses. However, the function of NO in tumor biology is debatable. The inducible NOS (iNOS/NOS2) isoform is the one responsible to maintain the levels of NO, and it exhibits pleotropic effects in various cancers with concentration-dependent pro- and anti-tumor effects. iNOS triggers angiogenesis and endothelial cell migration in tumors by regulating the levels of vascular endothelial growth factor (VEGF). In drug discovery, drug repurposing involves investigations of approved drug candidates to treat various other diseases. In this study, we used anti-cancer drugs and small molecules to target iNOS and identify a potential selective iNOS inhibitor. The structures of ligands were geometrically optimized and energy minimized using Hyperchem software. Molecular docking was performed using Molegro virtual docker, and ligands were selected based on MolDock score, Rerank score, and H-bonding energy. In the study shown, venetoclax compound demonstrated excellent binding affinity to iNOS protein. This compound exhibited the lowest MolDock score and Rerank score with better H-bonding energy to iNOS. The binding efficacy of venetoclax was analyzed by performing molecular docking and molecular dynamic simulations. Multiple parameters were used to analyze the simulation trajectory, like root mean square deviation (RMSD), radius of gyration (Rg), and hydrogen bond interactions. Based on the results, venetoclax emerges to be a promising potential iNOS inhibitor to curtail cervical cancer progression.

摘要

宫颈癌是全球女性癌症死亡的第二大主要原因,也是发展中国家育龄妇女死亡的主要原因。一氧化氮参与了包括炎症和免疫反应在内的多种生理功能。然而,NO 在肿瘤生物学中的功能仍存在争议。诱导型一氧化氮合酶(iNOS/NOS2)同工型是维持 NO 水平的原因,它在各种癌症中表现出多效性,其浓度依赖性具有促肿瘤和抗肿瘤作用。iNOS 通过调节血管内皮生长因子(VEGF)的水平来触发肿瘤中的血管生成和内皮细胞迁移。在药物发现中,药物再利用涉及对已批准的候选药物进行研究,以治疗各种其他疾病。在这项研究中,我们使用抗癌药物和小分子来靶向 iNOS,并确定一种潜在的选择性 iNOS 抑制剂。使用 Hyperchem 软件对配体结构进行了几何优化和能量最小化。使用 Molegro virtual docker 进行分子对接,并根据 MolDock 得分、Rerank 得分和氢键能选择配体。在所示的研究中,venetoclax 化合物对 iNOS 蛋白表现出优异的结合亲和力。该化合物具有最低的 MolDock 得分和 Rerank 得分,与 iNOS 的氢键能更好。通过进行分子对接和分子动力学模拟来分析 venetoclax 的结合效力。使用多种参数来分析模拟轨迹,如均方根偏差(RMSD)、回转半径(Rg)和氢键相互作用。根据结果,venetoclax 有望成为一种有前途的潜在 iNOS 抑制剂,以遏制宫颈癌的进展。

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