肺癌egfrviii结合肽的计算设计、组合筛选和实验分析

IF 2 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Biophysics and Chemistry Pub Date : 2023-10-19 DOI:10.1142/s2737416523500576
Dongyun Gao, Jun Yao, Xuefeng Zhou, Xia Zhang, Linlin Zhou, Qiangrong Wang, Shan Li, Xi Ding
{"title":"肺癌egfrviii结合肽的计算设计、组合筛选和实验分析","authors":"Dongyun Gao, Jun Yao, Xuefeng Zhou, Xia Zhang, Linlin Zhou, Qiangrong Wang, Shan Li, Xi Ding","doi":"10.1142/s2737416523500576","DOIUrl":null,"url":null,"abstract":"Human epidermal growth factor receptor mutation variant III (EGFR[Formula: see text] is a cancer-specific cell surface oncogenic marker and has been observed to be widely involved in the formation, progression and metastasis of lung cancer and some other tumors. Previously, a massive quantity of EGFR[Formula: see text]-binding peptides were enriched via random phage display (RPD) targeted against the protein. In this study, we reported rational discovery of 12-mer peptides with high affinity to EGFR[Formula: see text] and strong selectivity for EGFR[Formula: see text] over wild-type EGFR (EGFR[Formula: see text]. A combinatorial peptide library was designed to target EGFR[Formula: see text] based on over ten thousands of known EGFR[Formula: see text] binders enriched from RPD analysis, and a virtual high-throughput screening protocol was then systematically performed against the library to derive those potential candidates, which were further examined rigorously at structural and energetic levels to identify few promising hits. Anisotropy binding assays were carried out to substantiate the computational findings. Consequently, eight 12-mer peptides were designed as effective binders that can target the EGFR[Formula: see text] extracellular subdomain 3 (SD3). In particular, two potent peptides (T1: FLHRYEIVTSYF and T3: FLQKYEWNTSYW) were found to have a high affinity to EGFR[Formula: see text] and a good selectivity for EGFR[Formula: see text] over EGFR WT . Structural analysis revealed that the peptide-binding site can be divided into hydrophobic, polar and mixed regions, which correspond to the nonpolar [Formula: see text]-terminal section, polar/charged middle section and hybrid C-terminal section of the peptide. The peptide selectivity originated from the middle section, which can form a different hydrogen bond network between the two proteins upon the mutating perturbation, whereas the N- and C-terminal sections are primarily responsible for the peptide stability but not specificity.","PeriodicalId":15603,"journal":{"name":"Journal of Computational Biophysics and Chemistry","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computational Design, Combinatorial Screening and Experimental Analysis of Lung Cancer EGFR<sup>VIII</sup>-binding Peptides\",\"authors\":\"Dongyun Gao, Jun Yao, Xuefeng Zhou, Xia Zhang, Linlin Zhou, Qiangrong Wang, Shan Li, Xi Ding\",\"doi\":\"10.1142/s2737416523500576\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Human epidermal growth factor receptor mutation variant III (EGFR[Formula: see text] is a cancer-specific cell surface oncogenic marker and has been observed to be widely involved in the formation, progression and metastasis of lung cancer and some other tumors. Previously, a massive quantity of EGFR[Formula: see text]-binding peptides were enriched via random phage display (RPD) targeted against the protein. In this study, we reported rational discovery of 12-mer peptides with high affinity to EGFR[Formula: see text] and strong selectivity for EGFR[Formula: see text] over wild-type EGFR (EGFR[Formula: see text]. A combinatorial peptide library was designed to target EGFR[Formula: see text] based on over ten thousands of known EGFR[Formula: see text] binders enriched from RPD analysis, and a virtual high-throughput screening protocol was then systematically performed against the library to derive those potential candidates, which were further examined rigorously at structural and energetic levels to identify few promising hits. Anisotropy binding assays were carried out to substantiate the computational findings. Consequently, eight 12-mer peptides were designed as effective binders that can target the EGFR[Formula: see text] extracellular subdomain 3 (SD3). In particular, two potent peptides (T1: FLHRYEIVTSYF and T3: FLQKYEWNTSYW) were found to have a high affinity to EGFR[Formula: see text] and a good selectivity for EGFR[Formula: see text] over EGFR WT . Structural analysis revealed that the peptide-binding site can be divided into hydrophobic, polar and mixed regions, which correspond to the nonpolar [Formula: see text]-terminal section, polar/charged middle section and hybrid C-terminal section of the peptide. The peptide selectivity originated from the middle section, which can form a different hydrogen bond network between the two proteins upon the mutating perturbation, whereas the N- and C-terminal sections are primarily responsible for the peptide stability but not specificity.\",\"PeriodicalId\":15603,\"journal\":{\"name\":\"Journal of Computational Biophysics and Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational Biophysics and Chemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/s2737416523500576\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Biophysics and Chemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s2737416523500576","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

人表皮生长因子受体突变型III (epidermal growth factor receptor mutation variant III, EGFR)是一种癌症特异性的细胞表面致癌标志物,已被观察到广泛参与肺癌和其他一些肿瘤的形成、进展和转移。以前,通过针对蛋白质的随机噬菌体展示(RPD)富集大量的EGFR结合肽。在这项研究中,我们报告了对EGFR高亲和力的12聚肽的合理发现[公式:见文本],以及对EGFR的强选择性[公式:见文本]优于野生型EGFR(公式:见文本)。基于从RPD分析中富集的超过一万种已知EGFR结合物,设计了一个针对EGFR的组合肽文库[公式:见文本],然后系统地针对该文库执行虚拟高通量筛选协议,以获得这些潜在的候选物,并在结构和能量水平上进一步严格检查,以确定少数有希望的命中。进行了各向异性结合试验来证实计算结果。因此,八种12聚肽被设计为有效的结合物,可以靶向EGFR[公式:见文本]细胞外亚结构域3 (SD3)。特别是,两种有效的肽(T1: FLHRYEIVTSYF和T3: FLQKYEWNTSYW)被发现对EGFR具有高亲和力[公式:见文本],并且对EGFR具有良好的选择性[公式:见文本]。结构分析表明,肽结合位点可分为疏水区、极性区和混合区,分别对应于肽的非极性[公式:见文]-末端区、极性/带电中间区和杂化c末端区。肽的选择性源于中间部分,在突变扰动下,中间部分在两种蛋白质之间形成不同的氢键网络,而N端和c端部分主要负责肽的稳定性,而不是特异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Computational Design, Combinatorial Screening and Experimental Analysis of Lung Cancer EGFRVIII-binding Peptides
Human epidermal growth factor receptor mutation variant III (EGFR[Formula: see text] is a cancer-specific cell surface oncogenic marker and has been observed to be widely involved in the formation, progression and metastasis of lung cancer and some other tumors. Previously, a massive quantity of EGFR[Formula: see text]-binding peptides were enriched via random phage display (RPD) targeted against the protein. In this study, we reported rational discovery of 12-mer peptides with high affinity to EGFR[Formula: see text] and strong selectivity for EGFR[Formula: see text] over wild-type EGFR (EGFR[Formula: see text]. A combinatorial peptide library was designed to target EGFR[Formula: see text] based on over ten thousands of known EGFR[Formula: see text] binders enriched from RPD analysis, and a virtual high-throughput screening protocol was then systematically performed against the library to derive those potential candidates, which were further examined rigorously at structural and energetic levels to identify few promising hits. Anisotropy binding assays were carried out to substantiate the computational findings. Consequently, eight 12-mer peptides were designed as effective binders that can target the EGFR[Formula: see text] extracellular subdomain 3 (SD3). In particular, two potent peptides (T1: FLHRYEIVTSYF and T3: FLQKYEWNTSYW) were found to have a high affinity to EGFR[Formula: see text] and a good selectivity for EGFR[Formula: see text] over EGFR WT . Structural analysis revealed that the peptide-binding site can be divided into hydrophobic, polar and mixed regions, which correspond to the nonpolar [Formula: see text]-terminal section, polar/charged middle section and hybrid C-terminal section of the peptide. The peptide selectivity originated from the middle section, which can form a different hydrogen bond network between the two proteins upon the mutating perturbation, whereas the N- and C-terminal sections are primarily responsible for the peptide stability but not specificity.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.60
自引率
9.10%
发文量
62
期刊最新文献
An Integrative Computational Approach for Design and Evaluation of Novel [1,2,4]triazolo[3,4-b][1,3,4]thiadiazole Analogues as Dual-Action Anti-Retroviral and Anti-Bacterial Agents: Insights into Rational Drug Design Strategies Natural Products from Brazilian Biodiversity Explored as Anti-EBV Drug Candidates: In-Silico Database Mining, Docking Computations, Molecular Dynamics, and DFT Calculations Persistent Path Homology for Quantitative Analysis of Carboranes SGCAL: An algorithm to identify sensitive gene combinations in the mouse osteoblast gene network Inhibition of β-lactamase by Novel Benzothiazole-Coupled Azetidinone Derivatives: A Comprehensive Study Using an In-silico and In-vitro Approaches Against Multi Drug Resistant Bacteria
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1