Issue
Copyright (c) 2023 Aziz Unnisa, Suresh B. Jandrajupalli , Badria A Elamine, Omkalthoum A Mohamed, Aliyah Hamdan Alshammari , Hajer shaty Alshammari, Norah Bandar, Mohammed Ghannam Alanazi, Ramana Gangireddy
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The undersigned hereby assign all rights, included but not limited to copyright, for this manuscript to CMB Association upon its submission for consideration to publication on Cellular and Molecular Biology. The rights assigned include, but are not limited to, the sole and exclusive rights to license, sell, subsequently assign, derive, distribute, display and reproduce this manuscript, in whole or in part, in any format, electronic or otherwise, including those in existence at the time this agreement was signed. The authors hereby warrant that they have not granted or assigned, and shall not grant or assign, the aforementioned rights to any other person, firm, organization, or other entity. All rights are automatically restored to authors if this manuscript is not accepted for publication.Screening of natural products atlas for identification of lead molecule to treat angina pectoris using bioinformatics approaches.
Corresponding Author(s) : Aziz Unnisa
Cellular and Molecular Biology,
Vol. 69 No. 8: Issue 8
Abstract
Angina pectoris is amongst the most common diseases. There is a scarcity of effective treatments for this disease. As a result, there is a significant clinical and social interest in predicting and developing novel compounds to treat cardiovascular disorders. So, specific natural products have been screened in this study because they have protective effects against angiotensin-converting enzymes. When taken orally, natural products can help protect against or lessen the severity of angina and heart damage. Natural compounds inhibit regulatory enzymes for controlling Angina. For this, we used computational methods such as drug design to identify novel natural compounds against cardiovascular diseases. Drug design via computational methods is gaining popularity as a quick and effective method to identify lead compounds in a shorter time at a low cost. This research work aims to predict novel lead inhibitor compounds against ACE to treat angina pectoris. This would ensure that, in early preclinical studies, there will be lower failure rates due to the demonstrated safety profiles of the predicted compounds.
Keywords
Download Citation
Endnote/Zotero/Mendeley (RIS)BibTeX
