Construction of Protein–Protein Interaction Networks on Capsicum Against Sepsis by Regulating of Molecular Mechanisms: Bioinformatics Approaches

Author:

Chen Xin1,Zhang Ming1,Yin Shuai1,Gao Tianwei1

Affiliation:

1. Department of Intensive Care Unit, Hangzhou Tumor Hospital Affiliated to School of Medicine, Zhejiang University, Hangzhou, 310002, China

Abstract

We aimed to create the construction of protein–protein interaction networks for target proteins and to analyze the molecular characteristics of capsicum, screen and identify the potential targets of capsicum against sepsis using bioinformatics approaches. The potential anti-sepsis targets of capsicum were screened by chemical protein interaction analysis and matched with the published anti-sepsis related disease targets in the Online Mendelian Inheritance in Man database (OMIM) and the Genecards Database to screen out the anti-sepsis targets of capsicum. The potential targets of capsicum against sepsis were further identified by molecular docking server. Capsicum exhibited good medicinal properties. Overall, 14 potential targets were screened and 3453 disease targets were obtained from OMIM and Genecards databases. Subsequently, we found that there were 14 proteins that were both molecular targets and disease targets. The molecular docking server identified that the active ingredient beta-carotene had the ability to bind to 11 targeted proteins, which was a potential target of capsicum against sepsis. Capsicum can exert its therapeutic effects by interacting with key amino acid residues of the targeted proteins. Capsicum can inhibit tissue and organ damage of sepsis by regulating CAV1 and CTNNB1, and reduce inflammatory response of sepsis by regulating MYC, VEGFA, NR3C1 and DUSP1d, and ultimately prevent and treat sepsis.

Publisher

American Scientific Publishers

Subject

Pharmaceutical Science,General Materials Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering

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