• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过共享蛋白质-蛋白质相互作用网络分析发现针对癌症和心血管疾病的创新药物。

Discovering Innovative Drugs Targeting Both Cancer and Cardiovascular Disease by Shared Protein-Protein Interaction Network Analyses.

机构信息

Bioinformatics Infrastructure Facility, Department of Biochemistry, Centre of Excellence in Bioinformatics, University of Lucknow, Lucknow, Uttar Pradesh, India.

Institute for Development of Advanced Computing, ONGC Centre for Advanced Studies, University of Lucknow, Lucknow, Uttar Pradesh, India.

出版信息

OMICS. 2019 Sep;23(9):417-425. doi: 10.1089/omi.2019.0095. Epub 2019 Jul 18.

DOI:10.1089/omi.2019.0095
PMID:31329050
Abstract

Cancer and cardiovascular disease (CVD) have a common co-occurrence. Both diseases display overlapping pathophysiology and risk factors, suggesting shared biological mechanisms. Conditions such as obesity, diabetes, hypertension, smoking, poor diet, and inadequate physical activity can cause both heart disease and cancer. The burgeoning field of onco-cardiology aims to develop diagnostics and innovative therapeutics for both diseases through targeting shared mechanisms and molecular targets. In this overarching context, this expert review presents an analysis of the protein-protein interaction (PPI) networks for onco-cardiology drug discovery. Several PPI complexes such as MDM2-TP53 and CDK4-pRB have been studied for their tumor-suppressive functions. In addition, XIAP-SMAC, RAC1-GEF, Sur-2ESX, and TP53-BRCA1 are other PPI complexes that offer potential breakthrough for onco-cardiology therapeutics innovation. As both cancer and CVD share biological mechanisms to a certain degree, the PPI network analyses for onco-cardiology drug discovery are promising for addressing comorbid diseases in the spirit of systems medicine. We discuss the emerging architecture of PPI networks in cancer and CVD and prospects and challenges for their exploitation toward therapeutics applications. Finally, we emphasize that PPIs that were once thought to be undruggable have become potential new class of innovative drug targets.

摘要

癌症和心血管疾病(CVD)共同发生。这两种疾病表现出重叠的病理生理学和危险因素,表明存在共同的生物学机制。肥胖、糖尿病、高血压、吸烟、不良饮食和缺乏体育活动等情况会导致心脏病和癌症。肿瘤心脏病学这一新兴领域旨在通过针对共同机制和分子靶点,为这两种疾病开发诊断和创新疗法。在这个总体背景下,本专家评论对肿瘤心脏病学药物发现中的蛋白质-蛋白质相互作用(PPI)网络进行了分析。已经研究了几种 PPI 复合物,例如 MDM2-TP53 和 CDK4-pRB,以研究其肿瘤抑制功能。此外,XIAP-SMAC、RAC1-GEF、Sur-2ESX 和 TP53-BRCA1 是其他 PPI 复合物,为肿瘤心脏病学治疗创新提供了潜在突破。由于癌症和 CVD 在一定程度上具有共同的生物学机制,因此肿瘤心脏病学药物发现中的 PPI 网络分析有望在系统医学的精神下解决共病问题。我们讨论了癌症和 CVD 中新兴的 PPI 网络架构及其在治疗应用方面的前景和挑战。最后,我们强调,曾经被认为不可成药的 PPI 已成为潜在的新型创新药物靶标。

相似文献

1
Discovering Innovative Drugs Targeting Both Cancer and Cardiovascular Disease by Shared Protein-Protein Interaction Network Analyses.通过共享蛋白质-蛋白质相互作用网络分析发现针对癌症和心血管疾病的创新药物。
OMICS. 2019 Sep;23(9):417-425. doi: 10.1089/omi.2019.0095. Epub 2019 Jul 18.
2
Network analysis and in silico prediction of protein-protein interactions with applications in drug discovery.网络分析和基于计算机的蛋白质-蛋白质相互作用预测及其在药物发现中的应用。
Curr Opin Struct Biol. 2017 Jun;44:134-142. doi: 10.1016/j.sbi.2017.02.005. Epub 2017 Mar 30.
3
Evaluating protein-protein interaction (PPI) networks for diseases pathway, target discovery, and drug-design using 'in silico pharmacology'.使用“计算机药理学”评估疾病通路、靶点发现和药物设计的蛋白质-蛋白质相互作用(PPI)网络。
Curr Protein Pept Sci. 2014;15(6):561-71. doi: 10.2174/1389203715666140724090153.
4
Network pharmacology of cancer: From understanding of complex interactomes to the design of multi-target specific therapeutics from nature.癌症的网络药理学:从对复杂相互作用组的理解到源自天然产物的多靶点特异性疗法的设计。
Pharmacol Res. 2016 Sep;111:290-302. doi: 10.1016/j.phrs.2016.06.018. Epub 2016 Jun 18.
5
Targeting protein-protein interactions as an anticancer strategy.靶向蛋白质-蛋白质相互作用作为一种抗癌策略。
Trends Pharmacol Sci. 2013 Jul;34(7):393-400. doi: 10.1016/j.tips.2013.04.007. Epub 2013 May 29.
6
Small-molecule binding sites to explore protein-protein interactions in the cancer proteome.用于探索癌症蛋白质组中蛋白质-蛋白质相互作用的小分子结合位点。
Mol Biosyst. 2016 Oct 20;12(10):3067-87. doi: 10.1039/c6mb00231e. Epub 2016 Jul 25.
7
Network-based characterization of drug-regulated genes, drug targets, and toxicity.基于网络的药物调控基因、药物靶点和毒性特征分析。
Methods. 2012 Aug;57(4):499-507. doi: 10.1016/j.ymeth.2012.06.003. Epub 2012 Jun 27.
8
Bioinformatics-based tools in drug discovery: the cartography from single gene to integrative biological networks.基于生物信息学的药物发现工具:从单个基因到综合生物网络的图谱。
Drug Discov Today. 2018 Sep;23(9):1658-1665. doi: 10.1016/j.drudis.2018.05.041. Epub 2018 Jun 1.
9
The Gene Network Correlation Analysis of Obesity to Type 1 Diabetes and Cardiovascular Disorders: An Interactome-Based Bioinformatics Approach.肥胖与 1 型糖尿病和心血管疾病的基因网络关联分析:基于互作组的生物信息学方法。
Mol Biotechnol. 2024 Aug;66(8):2123-2143. doi: 10.1007/s12033-023-00845-5. Epub 2023 Aug 22.
10
Protein-protein interactions: network analysis and applications in drug discovery.蛋白质-蛋白质相互作用:网络分析及其在药物发现中的应用。
Curr Pharm Des. 2012;18(30):4619-29. doi: 10.2174/138161212802651562.

引用本文的文献

1
Effect of proton pump inhibitor (lansoprazole) on adverse drug reactions and rational drug use in elderly patients with chronic heart failure.质子泵抑制剂(兰索拉唑)对老年慢性心力衰竭患者药物不良反应及合理用药的影响
Am J Transl Res. 2025 Feb 15;17(2):1290-1301. doi: 10.62347/BZED8420. eCollection 2025.
2
Computational analysis of protein-protein interaction network of differentially expressed genes in benign prostatic hyperplasia.良性前列腺增生中差异表达基因的蛋白质-蛋白质相互作用网络的计算分析
Mol Biol Res Commun. 2022 Jun;11(2):85-96. doi: 10.22099/mbrc.2022.43721.1746.
3
Exploring the Pharmacological Mechanisms of Hook F against Cardiovascular Disease Using Network Pharmacology and Molecular Docking.
运用网络药理学和分子对接技术探究钩藤甲素(Hook F)防治心血管疾病的作用机制。
Biomed Res Int. 2021 Aug 14;2021:5575621. doi: 10.1155/2021/5575621. eCollection 2021.