设计新型有效的氧吲哚衍生物作为癌症治疗的VEGFR2抑制剂:来自分子对接、药物相似性、DFT和结构动力学研究的计算见解

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Sowmiya Perinbaraj , Manikandan Jayaraman , Jeyakanthan Jeyaraman , Konda Reddy Girija
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引用次数: 0

摘要

氧吲哚是一种杂环核心的γ-内酰胺,由吡咯和苯环组成,在第二个位置有一个羰基。这种支架存在于许多天然和合成的生物活性化合物中,由于其广泛的生物活性,它已成为药物化学中一个特殊的药效团。在2-吲哚结构的3位取代已被证明可以提高效力和选择性,特别是在抗癌药物的开发中。乳腺癌是一种影响全世界数百万妇女的普遍和具有挑战性的疾病,强调迫切需要更有效的治疗方法。目前的治疗方法往往表现出有限的疗效、显著的副作用和耐药性问题,这突出了对安全性更高的新药的需求。本研究的重点是血管内皮生长因子受体-2 (VEGFR-2),肿瘤血管生成的重要调节因子,作为乳腺癌治疗的潜在靶点。通过对360种设计的氧吲哚衍生物进行基于分子对接的虚拟筛选,确定了三种化合物(BIATAM、CIHTAM和IATAM)作为潜在的候选化合物,每种化合物都具有高对接分数(>7 kcal/mol)和良好的相互作用,包括氢键、疏水接触和堆叠。其中,BIATAM因其优越的对接性能、良好的药代动力学特征以及符合Lipinski’s Rule of Five而成为先导化合物。密度泛函理论(DFT)计算证实了其化学稳定性,而分子动力学模拟(MDS)显示了其较高的结构稳定性。基于主成分的自由能图(FEL)分析强调了有限的构象灵活性,而基于MM/ pbsa的结合能计算增强了其在VEGFR-2结合口袋内的强亲和力。这些综合计算结果表明,BIATAM作为治疗乳腺癌的一种新的治疗选择具有很大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Designing novel potent oxindole derivatives as VEGFR2 inhibitors for cancer therapy: Computational insights from molecular docking, drug-likeness, DFT, and structural dynamics studies

Designing novel potent oxindole derivatives as VEGFR2 inhibitors for cancer therapy: Computational insights from molecular docking, drug-likeness, DFT, and structural dynamics studies
Oxindole is a γ-lactam featuring a heterocyclic core, combining pyrrole and benzene rings with a carbonyl group at the second position. This scaffold is present in numerous bioactive compounds, both natural and synthetic, and has emerged as a privileged pharmacophore in medicinal chemistry due to its broad biological activity. Substitution at the 3-position of the 2-oxindole structure has been shown to enhance potency and selectivity, especially in anticancer drug development. Breast cancer, a prevalent and challenging disease affecting millions of women worldwide, underscores an urgent need for more effective treatments. Current therapies often exhibit limited efficacy, significant side effects, and resistance issues, highlighting the demand for novel drugs with improved safety profiles. This study focuses on vascular endothelial growth factor receptor-2 (VEGFR-2), an essential regulator of tumor angiogenesis, as a potential target for breast cancer therapy. Through molecular docking-based virtual screening of 360 designed oxindole derivatives, three compounds (BIATAM, CIHTAM, and IATAM) were identified as potential candidates, each demonstrating high docking scores (>7 kcal/mol) and favorable interactions, including hydrogen bonding, hydrophobic contacts, and stacking. Among these, BIATAM emerged as the lead compound due to its superior docking performance, favorable pharmacokinetic profiles, and compliance with Lipinski's Rule of Five. Density functional theory (DFT) calculations confirmed its chemical stability, while molecular dynamics simulations (MDS) revealed high structural stability. Principal component-based free energy landscape (FEL) analysis highlighted limited conformational flexibility, and MM/PBSA-based binding energy calculations reinforced its strong affinity within the VEGFR-2 binding pocket. These comprehensive computational findings suggest that BIATAM holds promising potential as a novel therapeutic option for treating breast cancer.
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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