Molecular docking and dynamics simulation study of bioactive compounds from Ficus carica L. with important anticancer drug targets

加勒比 分子力学 对接(动物) 拓扑异构酶 榕树 分子动力学 自动停靠 生物化学 生物信息学 生物 生物物理学 化学 立体化学 植物 计算化学 医学 基因 护理部
作者
Arun Bahadur Gurung,M. Ajmal Ali,Joongku Lee,Mohammad Abul Farah,Khalid Mashay Al‐Anazi
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:16 (7): e0254035-e0254035 被引量:64
标识
DOI:10.1371/journal.pone.0254035
摘要

Ficus carica L., commonly known as fig, has been used in traditional medicine for metabolic disorders, cardiovascular diseases, respiratory diseases and cancer. Various bioactive compounds have been previously isolated from the leaves, fruit, and bark, which have different pharmacological properties, but the anticancer mechanisms of this plant are not known. In the current study we focused on understanding the probable mechanisms underlying the anticancer activity of F . carica plant extracts by molecular docking and dynamic simulation approaches. We evaluated the drug-likeness of the active constituents of the plant and explored its binding affinity with selected anticancer drug target receptors such as cyclin-dependent kinase 2 (CDK-2), cyclin-dependent kinase 6 (CDK-6), topoisomerase-I (Topo I), topoisomerase-II (Topo II), B-cell lymphoma 2 (Bcl-2), and vascular endothelial growth factor receptor 2 (VEGFR-2). In silico toxicity studies revealed that thirteen molecules out of sixty-eight major active compounds in the plant extract have acceptable drug-like properties. Compound 37 (β-bourbonene) has a good binding affinity with the majority of drug targets, as revealed by molecular docking studies. The complexes of the lead molecules with the drug receptors were stable in terms of molecular dynamics simulation derived parameters such as root mean square deviation and radius of gyration. The top ten residues contributing significantly to the binding free energies were deciphered through analysis of molecular mechanics Poisson–Boltzmann surface area (MM-PBSA) and molecular mechanics generalized Born surface area (MM-GBSA). Thus, the results of our studies unravel the potential of F . carica bioactive compounds as anticancer candidate molecules against selected macromolecular receptors.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
relevance发布了新的文献求助10
刚刚
刚刚
刚刚
orixero应助聿潇采纳,获得10
刚刚
zhenggggg发布了新的文献求助10
1秒前
xiuuu完成签到,获得积分10
1秒前
义气初阳发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
2秒前
3秒前
张张发布了新的文献求助10
3秒前
3秒前
ak枫完成签到,获得积分10
3秒前
常羽完成签到,获得积分10
3秒前
东方客警完成签到,获得积分10
3秒前
Woshuo发布了新的文献求助10
3秒前
希望天下0贩的0应助放逐采纳,获得10
3秒前
要努力鸭发布了新的文献求助10
4秒前
Auriga完成签到,获得积分10
4秒前
Seven完成签到,获得积分10
4秒前
xiuuu发布了新的文献求助10
4秒前
duoduo完成签到 ,获得积分10
5秒前
kyouu完成签到,获得积分10
5秒前
susu发布了新的文献求助10
5秒前
淡然钢笔完成签到,获得积分10
5秒前
欧耶耶耶完成签到,获得积分20
6秒前
your完成签到 ,获得积分10
6秒前
7秒前
relevance完成签到,获得积分10
8秒前
NNi发布了新的文献求助10
8秒前
mmmc发布了新的文献求助10
8秒前
淡然涵易发布了新的文献求助50
8秒前
林夕完成签到,获得积分10
8秒前
桃子发布了新的文献求助10
8秒前
8秒前
一个柔弱的读书人完成签到,获得积分10
9秒前
榴下晨光发布了新的文献求助10
9秒前
9秒前
高分求助中
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics,2025 500
Optical Coating Design with the Essential Macleod 400
A revision of Limenitis helmanni and its related species (Nymphalidae) from Central and South China 400
Moore's Clinically Oriented Anatomy 10th Edition 400
Direct and Iterative Linear System Solvers 400
Cardiopulmonary Bypass and Mechanical Support: Principles and Practice, Fifth Edition 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6785278
求助须知:如何正确求助?哪些是违规求助? 8507401
关于积分的说明 18118700
捐赠科研通 6091156
什么是DOI,文献DOI怎么找? 3019984
邀请新用户注册赠送积分活动 1996976
关于科研通互助平台的介绍 1983457