Computational Design for Human Angiotensin Converting Enzyme as a Target for Arjunolic Acid Causes Coronary Artery Disease

Author:

A.K. Moharana,,V. Laxmi,,L. Prasad,

Abstract

A leading cause of mortality around the globe is coronary artery disease (CAD). Major improvements in CAD therapy have been developed during the last ten years. According to the degree, kind, and clinical manifestation of CAD, the current treatments are either chemical treatments, surgical, or a combination of both. The bark of the Indian medicinal plant “Terminalia arjuna” has been used for decades as a heart stimulant. Several medicinal elements, including saponins and flavonoids, have been isolated from the bark. Terminalia arjuna has been the subject of numerous experimental and clinical research for its ability to treat cardiovascular diseases. Because protein-ligand interactions are important in structure-based treatment discovery, we used molecular docking to analyze Arjunolic acid (phytochemical found in T. arjuna) and examined their binding affinity against the cardiovascular target protein. The three-dimensional (3D) structure of the Human Angiotensin Converting Enzyme (Target Cardiovascular Protein) was obtained from Protein Data Bank and docked using the Autodock tool. As a result of our research, T. arjuna seems to be a good option for producing broad-spectrum medicines to treat cardiovascular disease.

Publisher

RosNOU

Subject

Public Health, Environmental and Occupational Health,Immunology,Insect Science,Ecology, Evolution, Behavior and Systematics,General Mathematics,Analysis,Cardiology and Cardiovascular Medicine,Physiology,Internal Medicine,Literature and Literary Theory,Sociology and Political Science,Cultural Studies,Linguistics and Language,History,Language and Linguistics,Cultural Studies,Stratigraphy,Geology,Literature and Literary Theory,Linguistics and Language,Language and Linguistics,Gender Studies,General Agricultural and Biological Sciences,Aquatic Science,Electrical and Electronic Engineering,Information Systems and Management,General Computer Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3