Unveiling novel VEGFR-2 inhibitors: QSAR modeling, molecular docking, MD and MM-GBSA calculations, pharmacokinetics profiling and DFT studies

IF 2.7 Q2 MULTIDISCIPLINARY SCIENCES
Sagiru Hamza Abdullahi , Rajesh B. Patil , Adamu Uzairu , Muhammad Tukur Ibrahim , Mustapha Abdullahi , Babangida Abdullahi Saje
{"title":"Unveiling novel VEGFR-2 inhibitors: QSAR modeling, molecular docking, MD and MM-GBSA calculations, pharmacokinetics profiling and DFT studies","authors":"Sagiru Hamza Abdullahi ,&nbsp;Rajesh B. Patil ,&nbsp;Adamu Uzairu ,&nbsp;Muhammad Tukur Ibrahim ,&nbsp;Mustapha Abdullahi ,&nbsp;Babangida Abdullahi Saje","doi":"10.1016/j.sciaf.2025.e02692","DOIUrl":null,"url":null,"abstract":"<div><div>Breast cancer ranks as the primary recurring cancer affecting women, the staggering 1.3 million cases reported annually call for impactful intervention strategies. Novel benzoxazole/benzimidazole molecules as VEGFR-2 target inhibitors were unveiled. To achieve this, a reliable QSAR model was built with statistical parameters such as an R² = 0.929, R²<sub>adj</sub> = 0.917, Q²<sub>cv</sub> = 0.899, and R²<sub>pred</sub> = 0.603. Virtual screening identified compound 35 (pIC<sub>50</sub> = 4.165) as a lead molecule which facilitate the design of five novel candidates with higher predicted pIC<sub>50</sub> within the range of 4.208 to 4.698, via the addition and substitution of electron rich –OH, -NH<sub>2</sub>, and -F at strategic positions on the template. Docking simulation with the VEGFR-2 target revealed their excellent affinities from -169.129 to -176.724 and -143.283 and -150.234 kcal/mol. Compound 35d with scores of -176.724, and -150.234 kcal/mol, underwent a 200-ns comparative MD simulation and MM-GBSA analysis with Sorafenib. The results revealed that 35d has a better propensity of stabilizing the VEGFR-2 target than Sorafenib. In addition, pharmacological profiling validated the drug-like potential of the proposed candidates, demonstrating 0 to 1 breaches of the Lipinski's rules and promising ADMET features. DFT analyses illustrates the reactive profiles of the proposed candidates.</div></div>","PeriodicalId":21690,"journal":{"name":"Scientific African","volume":"28 ","pages":"Article e02692"},"PeriodicalIF":2.7000,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific African","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468227625001620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Breast cancer ranks as the primary recurring cancer affecting women, the staggering 1.3 million cases reported annually call for impactful intervention strategies. Novel benzoxazole/benzimidazole molecules as VEGFR-2 target inhibitors were unveiled. To achieve this, a reliable QSAR model was built with statistical parameters such as an R² = 0.929, R²adj = 0.917, Q²cv = 0.899, and R²pred = 0.603. Virtual screening identified compound 35 (pIC50 = 4.165) as a lead molecule which facilitate the design of five novel candidates with higher predicted pIC50 within the range of 4.208 to 4.698, via the addition and substitution of electron rich –OH, -NH2, and -F at strategic positions on the template. Docking simulation with the VEGFR-2 target revealed their excellent affinities from -169.129 to -176.724 and -143.283 and -150.234 kcal/mol. Compound 35d with scores of -176.724, and -150.234 kcal/mol, underwent a 200-ns comparative MD simulation and MM-GBSA analysis with Sorafenib. The results revealed that 35d has a better propensity of stabilizing the VEGFR-2 target than Sorafenib. In addition, pharmacological profiling validated the drug-like potential of the proposed candidates, demonstrating 0 to 1 breaches of the Lipinski's rules and promising ADMET features. DFT analyses illustrates the reactive profiles of the proposed candidates.
揭示新的VEGFR-2抑制剂:QSAR建模、分子对接、MD和MM-GBSA计算、药代动力学分析和DFT研究
乳腺癌是影响妇女的主要复发性癌症,每年报告的惊人的130万例病例要求采取有效的干预策略。新的苯并恶唑/苯并咪唑分子作为VEGFR-2靶抑制剂被发现。为了实现这一目标,建立了可靠的QSAR模型,统计参数为R²= 0.929,R²adj = 0.917, Q²cv = 0.899, R²pred = 0.603。虚拟筛选鉴定出化合物35 (pIC50 = 4.165)为先导分子,通过在模板上的策略位置加成和取代富电子的-OH、-NH2和-F,促进了5个具有较高pIC50预测范围(4.208 ~ 4.698)的新型候选分子的设计。与VEGFR-2靶蛋白的对接模拟显示,它们在-169.129 ~ -176.724、-143.283 ~ -150.234 kcal/mol范围内具有良好的亲和力。化合物35d的评分分别为-176.724和-150.234 kcal/mol,与索拉非尼进行200-ns MD模拟和MM-GBSA分析。结果显示,35d比索拉非尼具有更好的稳定VEGFR-2靶点的倾向。此外,药理学分析验证了拟议候选药物的药物样潜力,证明0比1违反Lipinski规则和有希望的ADMET特征。DFT分析说明了提出的候选人的反应概况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Scientific African
Scientific African Multidisciplinary-Multidisciplinary
CiteScore
5.60
自引率
3.40%
发文量
332
审稿时长
10 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信