An Insight into the Repurposing of Phytoconstituents obtained from Delhi’s Aravalli Biodiversity Park as Antifungal Agents

对接(动物) 重新调整用途 抗真菌 脱甲基酶 氟康唑 药理学 植物化学 药物重新定位 计算生物学 生物 传统医学 化学 药品 生物化学 医学 微生物学 兽医学 生态学 表观遗传学 基因
作者
Amanpreet Kaur,Kalicharan Sharma,Neetika Sharma,Geeta Aggarwal
出处
期刊:Infectious disorders drug targets [Bentham Science]
卷期号:24 (7)
标识
DOI:10.2174/0118715265282411240119061441
摘要

Abstract: The global prevalence of fungal infections is alarming in both the pre- and postCOVID period. Due to a limited number of antifungal drugs, there are hurdles in treatment strategies for fungal infections due to toxic potential, drug interactions, and the development of fungal resistance. All the antifungal targets (existing and newer) and pipeline molecules showing promise against these targets are reviewed. The objective was to predict or repurpose phyto-based antifungal compounds based on a dual target inhibition approach (Sterol-14-αdemethylase and HSP-90) using a case study. In pursuit of repurposing the phytochemicals as antifungal agents, a team of researchers visited Aravalli Biodiversity Park (ABP), Delhi, India, to collect information on available medicinal plants. From 45 plants, a total of 1149 ligands were collected, and virtual screening was performed using Schrodinger Suite 2016 software to get 83 hits against both the target proteins: Sterol-14-α-demethylase and HSP-90. After analysis of docking results, ligands were selected based on their interaction against both the target proteins and comparison with respective standard ligands (fluconazole and ganetespib). We have selected Isocarthamidin, Quercetin and Boeravinone B based on their docking score and binding interaction against the HSP-90 (Docking Score -9.65, -9.22 and -9.21, respectively) and 14-α-demethylase (Docking Score -9.19, -10.76 and -9.74 respectively). The docking protocol was validated and MM/GBSA studies depicted better stability of selected three ligands (Isocarthamidin, Quercetin, Boeravinone B) complex as compared to standard complex. Further, MD simulation studies were performed using the Desmond (67) software package version 2018-4. All the findings are presented as a case study for the prediction of dual targets for the repurposing of certain phytochemicals as antifungal agents.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
小汪汪发布了新的文献求助10
1秒前
1秒前
4秒前
4秒前
鲜艳的访风完成签到,获得积分10
6秒前
飞儿完成签到,获得积分10
7秒前
柔弱狗发布了新的文献求助10
8秒前
走之完成签到,获得积分10
9秒前
半山完成签到,获得积分10
11秒前
12秒前
12秒前
施水蓝完成签到,获得积分10
12秒前
雪白雍发布了新的文献求助10
14秒前
彭于晏应助都是采纳,获得10
14秒前
martina发布了新的文献求助30
15秒前
飘逸的山柏完成签到 ,获得积分10
16秒前
16秒前
李健的粉丝团团长应助Doki采纳,获得10
18秒前
安然发布了新的文献求助10
19秒前
jaden发布了新的文献求助10
20秒前
哭泣大米完成签到 ,获得积分20
21秒前
22秒前
huchen发布了新的文献求助10
23秒前
晏清完成签到 ,获得积分10
24秒前
26秒前
Katsura完成签到,获得积分20
26秒前
淡定夕阳完成签到,获得积分10
27秒前
木木发布了新的文献求助10
27秒前
27秒前
27秒前
martina完成签到,获得积分10
28秒前
blueblue完成签到,获得积分20
29秒前
ffff发布了新的文献求助10
30秒前
安然完成签到,获得积分10
31秒前
能干的诗筠完成签到 ,获得积分10
31秒前
咖啡豆应助晚风吹起来采纳,获得20
32秒前
NexusExplorer应助哭泣大米采纳,获得10
33秒前
34秒前
都是发布了新的文献求助10
34秒前
36秒前
高分求助中
The Oxford Handbook of Social Cognition (Second Edition, 2024) 1050
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Chen Hansheng: China’s Last Romantic Revolutionary 500
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3141175
求助须知:如何正确求助?哪些是违规求助? 2792145
关于积分的说明 7801676
捐赠科研通 2448353
什么是DOI,文献DOI怎么找? 1302516
科研通“疑难数据库(出版商)”最低求助积分说明 626613
版权声明 601237