• 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

基于计算机设计的登革热病毒肽抑制剂用于治疗登革热病毒相关感染。

In silico design of peptide inhibitors for Dengue virus to treat Dengue virus-associated infections.

机构信息

Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, Pakistan.

State Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.

出版信息

Sci Rep. 2024 Jun 7;14(1):13130. doi: 10.1038/s41598-024-63064-1.

DOI:10.1038/s41598-024-63064-1
PMID:38849372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11161489/
Abstract

Dengue virus is a single positive-strand RNA virus that is composed of three structural proteins including capsid, envelope, and precursor membrane while seven non-structural proteins (NS1, NS2A, NS2B, NS3A, NS3B, NS4, and NS5). Dengue is a viral infection caused by the dengue virus (DENV). DENV infections are asymptomatic or produce only mild illness. However, DENV can occasionally cause more severe cases and even death. There is no specific treatment for dengue virus infections. Therapeutic peptides have several important advantages over proteins or antibodies: they are small in size, easy to synthesize, and have the ability to penetrate the cell membranes. They also have high activity, specificity, affinity, and less toxicity. Based on the known peptide inhibitor, the current study designs peptide inhibitors for dengue virus envelope protein using an alanine and residue scanning technique. By replacing I21 with Q21, L14 with H14, and V28 with K28, the binding affinity of the peptide inhibitors was increased. The newly designed peptide inhibitors with single residue mutation improved the binding affinity of the peptide inhibitors. The inhibitory capability of the new promising peptide inhibitors was further confirmed by the utilization of MD simulation and free binding energy calculations. The molecular dynamics simulation demonstrated that the newly engineered peptide inhibitors exhibited greater stability compared to the wild-type peptide inhibitors. According to the binding free energies MM(GB)SA of these developed peptides, the first peptide inhibitor was the most effective against the dengue virus envelope protein. All peptide derivatives had higher binding affinities for the envelope protein and have the potential to treat dengue virus-associated infections. In this study, new peptide inhibitors were developed for the dengue virus envelope protein based on the already reported peptide inhibitor.

摘要

登革热病毒是一种单股正链 RNA 病毒,由 3 种结构蛋白组成,包括衣壳、包膜和前膜,而 7 种非结构蛋白(NS1、NS2A、NS2B、NS3A、NS3B、NS4 和 NS5)。登革热是由登革热病毒(DENV)引起的病毒感染。DENV 感染无症状或仅产生轻微疾病。然而,DENV 偶尔会引起更严重的病例,甚至死亡。目前尚无针对登革热病毒感染的特定治疗方法。治疗性肽与蛋白质或抗体相比具有几个重要优势:它们体积小、易于合成、能够穿透细胞膜。它们还具有高活性、特异性、亲和力和较低的毒性。基于已知的肽抑制剂,本研究使用丙氨酸和残基扫描技术设计针对登革热病毒包膜蛋白的肽抑制剂。通过将 I21 替换为 Q21、L14 替换为 H14 和 V28 替换为 K28,提高了肽抑制剂的结合亲和力。具有单个残基突变的新设计肽抑制剂提高了肽抑制剂的结合亲和力。通过利用 MD 模拟和自由结合能计算进一步证实了新的有前途的肽抑制剂的抑制能力。分子动力学模拟表明,新设计的肽抑制剂比野生型肽抑制剂表现出更大的稳定性。根据这些开发的肽的结合自由能 MM(GB)SA,第一个肽抑制剂对登革热病毒包膜蛋白的抑制作用最强。所有肽衍生物对包膜蛋白的结合亲和力更高,具有治疗登革热病毒相关感染的潜力。在这项研究中,基于已报道的肽抑制剂,为登革热病毒包膜蛋白开发了新的肽抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/38e1975288cd/41598_2024_63064_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/258f4c6a4f8a/41598_2024_63064_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/9f62eb0ce533/41598_2024_63064_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/d8e34c43b7bd/41598_2024_63064_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/96355d42e0af/41598_2024_63064_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/269cdbcd56f4/41598_2024_63064_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/de673eab6ce7/41598_2024_63064_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/38e1975288cd/41598_2024_63064_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/258f4c6a4f8a/41598_2024_63064_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/9f62eb0ce533/41598_2024_63064_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/d8e34c43b7bd/41598_2024_63064_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/96355d42e0af/41598_2024_63064_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/269cdbcd56f4/41598_2024_63064_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/de673eab6ce7/41598_2024_63064_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/474c/11161489/38e1975288cd/41598_2024_63064_Fig7_HTML.jpg

相似文献

1
In silico design of peptide inhibitors for Dengue virus to treat Dengue virus-associated infections.基于计算机设计的登革热病毒肽抑制剂用于治疗登革热病毒相关感染。
Sci Rep. 2024 Jun 7;14(1):13130. doi: 10.1038/s41598-024-63064-1.
2
Repurposing of therapeutic antibodies against dengue virus envelope protein receptor binding domain.抗登革病毒包膜蛋白受体结合域的治疗性抗体的再利用。
Arch Microbiol. 2024 Jun 20;206(7):312. doi: 10.1007/s00203-024-04039-8.
3
A peptide inhibitor derived from the conserved ectodomain region of DENV membrane (M) protein with activity against dengue virus infection.一种源自登革病毒膜(M)蛋白保守胞外域区域的具有抗登革病毒感染活性的肽抑制剂。
Chem Biol Drug Des. 2015 Nov;86(5):1093-104. doi: 10.1111/cbdd.12576. Epub 2015 May 20.
4
Diterpenes/Diterpenoids and Their Derivatives as Potential Bioactive Leads against Dengue Virus: A Computational and Network Pharmacology Study.二萜类化合物及其衍生物作为抗登革病毒的潜在生物活性先导物:计算和网络药理学研究。
Molecules. 2021 Nov 11;26(22):6821. doi: 10.3390/molecules26226821.
5
Structure-Based Design of Antivirals against Envelope Glycoprotein of Dengue Virus.基于结构的登革病毒包膜糖蛋白抗病毒药物设计。
Viruses. 2020 Mar 26;12(4):367. doi: 10.3390/v12040367.
6
Peptide inhibitors against dengue virus infection.抗登革病毒感染的肽抑制剂。
Chem Biol Drug Des. 2014 Aug;84(2):148-57. doi: 10.1111/cbdd.12309. Epub 2014 May 12.
7
Discovery of Potent Inhibitors for the Inhibition of Dengue Envelope Protein: An In Silico Approach.发现强效抑制剂抑制登革热包膜蛋白:一种计算机模拟方法。
Curr Top Med Chem. 2018;18(18):1585-1602. doi: 10.2174/1568026618666181025100736.
8
Anti-dengue virus activity of scytovirin and evaluation of point mutation effects by molecular dynamics and binding free energy calculations.Scytovirin的抗登革病毒活性及通过分子动力学和结合自由能计算评估点突变效应
Biochem Biophys Res Commun. 2017 Aug 26;490(3):1033-1038. doi: 10.1016/j.bbrc.2017.06.160. Epub 2017 Jun 27.
9
Screening of commercial cyclic peptides as inhibitor envelope protein dengue virus (DENV) through molecular docking and molecular dynamics.通过分子对接和分子动力学筛选商业环肽作为登革病毒包膜蛋白的抑制剂
Pak J Biol Sci. 2013 Dec 15;16(24):1836-48. doi: 10.3923/pjbs.2013.1836.1848.
10
Conformational and energy evaluations of novel peptides binding to dengue virus envelope protein.与登革病毒包膜蛋白结合的新型肽的构象和能量评估
J Mol Graph Model. 2017 Jun;74:273-287. doi: 10.1016/j.jmgm.2017.03.010. Epub 2017 Apr 7.

引用本文的文献

1
Multimodal Deep Learning for Generating Potential Anti-Dengue Peptides.用于生成潜在抗登革热肽的多模态深度学习
ACS Omega. 2025 Aug 19;10(34):38653-38674. doi: 10.1021/acsomega.5c03510. eCollection 2025 Sep 2.
2
Dengue and Flavivirus Co-Infections: Challenges in Diagnosis, Treatment, and Disease Management.登革热与黄病毒合并感染:诊断、治疗及疾病管理中的挑战
Int J Mol Sci. 2025 Jul 10;26(14):6609. doi: 10.3390/ijms26146609.

本文引用的文献

1
Proteomics-based vaccine targets annotation and design of multi-epitope vaccine against antibiotic-resistant Streptococcus gallolyticus.基于蛋白质组学的疫苗靶点注释和设计对抗生素耐药性酿脓链球菌的多表位疫苗。
Sci Rep. 2024 Feb 28;14(1):4836. doi: 10.1038/s41598-024-55372-3.
2
Structure-based virtual screening, molecular simulation and free energy calculations of traditional Chinese medicine, ZINC database revealed potent inhibitors of estrogen-receptor α (ERα).基于结构的虚拟筛选、分子模拟和中药的自由能计算,ZINC 数据库揭示了雌激素受体 α(ERα)的有效抑制剂。
J Biomol Struct Dyn. 2024;42(23):13261-13274. doi: 10.1080/07391102.2023.2275174. Epub 2023 Oct 30.
3
In silico mutagenesis-based designing of oncogenic SHP2 peptide to inhibit cancer progression.
基于计算机诱变的致癌 SHP2 肽设计以抑制癌症进展。
Sci Rep. 2023 Jun 21;13(1):10088. doi: 10.1038/s41598-023-37020-4.
4
Computer-assisted drug repurposing for thymidylate kinase drug target in monkeypox virus.计算机辅助药物重定位用于猴痘病毒胸苷酸激酶药物靶点。
Front Cell Infect Microbiol. 2023 May 29;13:1159389. doi: 10.3389/fcimb.2023.1159389. eCollection 2023.
5
Comparative binding analysis of WGX50 and Alpha-M with APP family proteins APLP1 and APLP2 using structural-dynamics and free energy calculation approaches.使用结构动力学和自由能计算方法对 WGX50 和 Alpha-M 与 APP 家族蛋白 APLP1 和 APLP2 的比较结合分析。
Phys Chem Chem Phys. 2023 May 31;25(21):14887-14897. doi: 10.1039/d2cp06083c.
6
Identification of novel peptide inhibitors for oncogenic KRAS G12D as therapeutic options using mutagenesis-based remodeling and MD simulations.利用基于诱变的重塑和 MD 模拟鉴定致癌 KRAS G12D 的新型肽抑制剂作为治疗选择。
J Biomol Struct Dyn. 2023;41(22):13425-13437. doi: 10.1080/07391102.2023.2192298. Epub 2023 Apr 3.
7
Mutagenesis and Modeling of Decoy Peptides Targeting CIB1 to Obscure its Role in Triple-negative Breast Cancer Progression.靶向CIB1的诱饵肽的诱变与建模以掩盖其在三阴性乳腺癌进展中的作用
Curr Pharm Des. 2023;29(8):630-638. doi: 10.2174/1381612829666230327162852.
8
Identification of Natural Lead Compounds against Hemagglutinin-Esterase Surface Glycoprotein in Human Coronaviruses Investigated via MD Simulation, Principal Component Analysis, Cross-Correlation, H-Bond Plot and MMGBSA.通过分子动力学模拟、主成分分析、交叉相关、氢键图和MMGBSA研究鉴定针对人类冠状病毒血凝素-酯酶表面糖蛋白的天然先导化合物。
Biomedicines. 2023 Mar 6;11(3):793. doi: 10.3390/biomedicines11030793.
9
Molecular Dynamic Simulation Analysis of a Novel Missense Variant in Gene in Patients with Methemoglobinemia.新型血红蛋白血症基因错义变异的分子动力学模拟分析。
Medicina (Kaunas). 2023 Feb 16;59(2):379. doi: 10.3390/medicina59020379.
10
Structure Prediction, Molecular Docking, and Dynamic Simulation of AP2-I Transcription Factor.AP2-I转录因子的结构预测、分子对接与动力学模拟
Bioinform Biol Insights. 2023 Jan 21;17:11779322221149616. doi: 10.1177/11779322221149616. eCollection 2023.