Molecular insights of anticancer potential of usnic acid towards cervical cancer target proteins: An in silico validation for novel anti-cancer compound from lichens.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Balasubramanian Murugesan, Anandhi Subramanian, Subha Bakthavachalam, Kavitha Rajendran, Sowndarya Raju, Subha Gabriel
{"title":"Molecular insights of anticancer potential of usnic acid towards cervical cancer target proteins: An <i>in silico</i> validation for novel anti-cancer compound from lichens.","authors":"Balasubramanian Murugesan, Anandhi Subramanian, Subha Bakthavachalam, Kavitha Rajendran, Sowndarya Raju, Subha Gabriel","doi":"10.1080/07391102.2023.2252076","DOIUrl":null,"url":null,"abstract":"<p><p>Usnic acid is a marker compound produced from numerous lichens (symbiotic association of mycobiont and phycobiont) possessing higher bioavailability, potent and selective against cancer cells. Usnic acid is an underutilized and well-documented anti-cancer compound from lichens and its activity is not yet documented against cervical cancer. The main aim of the present research is to screen the anti-cancer potential of usnic acid against cervical cancer target proteins. The drug-likeness validation of usnic acid shows nil violations against all drug-likeness rules when compared with all three screened anti-cancer standard drugs and shows some violation in drug likeness prediction. Further, ADMET screening reveals usnic acids shows effective pharmacokinetic profiles with good bioactivity scores, essential for drug delivery and metabolism. DFT analysis of usnic acid reveals less energy gap (-0.1184), hardness (0.0592 eV), and high softness (16.8918 eV) scores against three anti-cancer drug DFT scores. Molecular docking study shows usnic acid possesses excellent binding affinity with all the nine screened cervical cancer target proteins with docking scores ranging from -6.9 to -9.1 kcal/mol. Three anti-cancer drugs showed docking scores with a range of -5.2 to -8.4 kcal/mol. Further, four top-scored complexes were taken for molecular dynamic simulation study reveal that usnic acid complexes (1KTZ-usnic acid and 2BIM-usnic acid) possess good simulation trajectories with cervical cancer target proteins than the selected anti-cancer drugs.Communicated by Ramaswamy H. Sarma.</p>","PeriodicalId":15272,"journal":{"name":"Journal of Biomolecular Structure & Dynamics","volume":" ","pages":"9475-9493"},"PeriodicalIF":2.7000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomolecular Structure & Dynamics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1080/07391102.2023.2252076","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/11 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Usnic acid is a marker compound produced from numerous lichens (symbiotic association of mycobiont and phycobiont) possessing higher bioavailability, potent and selective against cancer cells. Usnic acid is an underutilized and well-documented anti-cancer compound from lichens and its activity is not yet documented against cervical cancer. The main aim of the present research is to screen the anti-cancer potential of usnic acid against cervical cancer target proteins. The drug-likeness validation of usnic acid shows nil violations against all drug-likeness rules when compared with all three screened anti-cancer standard drugs and shows some violation in drug likeness prediction. Further, ADMET screening reveals usnic acids shows effective pharmacokinetic profiles with good bioactivity scores, essential for drug delivery and metabolism. DFT analysis of usnic acid reveals less energy gap (-0.1184), hardness (0.0592 eV), and high softness (16.8918 eV) scores against three anti-cancer drug DFT scores. Molecular docking study shows usnic acid possesses excellent binding affinity with all the nine screened cervical cancer target proteins with docking scores ranging from -6.9 to -9.1 kcal/mol. Three anti-cancer drugs showed docking scores with a range of -5.2 to -8.4 kcal/mol. Further, four top-scored complexes were taken for molecular dynamic simulation study reveal that usnic acid complexes (1KTZ-usnic acid and 2BIM-usnic acid) possess good simulation trajectories with cervical cancer target proteins than the selected anti-cancer drugs.Communicated by Ramaswamy H. Sarma.

桔梗酸对宫颈癌靶蛋白抗癌潜力的分子洞察:从地衣中提取新型抗癌化合物的硅学验证。
Usnic acid 是一种标记化合物,产自多种地衣(霉菌和植物菌的共生体),具有较高的生物利用度,对癌细胞具有强效和选择性作用。乌苏酸是地衣中一种未得到充分利用和充分证实的抗癌化合物,但其对宫颈癌的活性尚未得到证实。本研究的主要目的是筛选烟酸对宫颈癌靶蛋白的抗癌潜力。与筛选出的三种抗癌标准药物相比,麝香草酸的药物相似性验证结果显示,麝香草酸没有违反所有药物相似性规则,但在药物相似性预测方面出现了一些违规现象。此外,ADMET 筛选显示,麝香草酸具有有效的药代动力学特征和良好的生物活性评分,这对药物的输送和代谢至关重要。DFT 分析显示,与三种抗癌药物的 DFT 评分相比,麝香草酸的能隙(-0.1184)、硬度(0.0592 eV)和柔软度(16.8918 eV)较低。分子对接研究表明,鸟苷酸与筛选出的九种宫颈癌靶蛋白都具有极佳的结合亲和力,对接得分范围为-6.9至-9.1 kcal/mol。三种抗癌药物的对接得分范围为-5.2至-8.4 kcal/mol。此外,四种得分最高的复合物被用于分子动态模拟研究,结果显示,与所选抗癌药物相比,麝香草酚复合物(1KTZ-麝香草酚和2BIM-麝香草酚)与宫颈癌靶蛋白的模拟轨迹良好。
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
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
×
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