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Structure-based design and optimization of antihypertensive peptides to obtain high inhibitory potency against both renin and angiotensin I-converting enzyme

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单位: [1]Jiujiang 1 Peoples Hosp Jiangxi Prov, Dept Cardiol, Jiujiang, Peoples R China [2]Huazhong Univ Sci & Technol,Tongji Med Coll,Tongji Hosp,Dept Cardiothorac Surg,Wuhan 430074,Peoples R China [3]Huazhong Univ Sci & Technol,Inst Hypertens,Tongji Hosp,Dept Internal Med,Tongji Med Coll,Wuhan 430074,Peoples R China
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关键词: hypertension cardiovascular disease quantitative structure-activity relationship peptide renin angiotensin I-converting enzyme

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The human renin-angiotensin system (RAS) plays an essential role in regulating blood pressure and systemic vascular resistance. Renin and angiotensin I-converting enzyme (ACE) are two key enzymes in RAS and have long been recognized as attractive antihypertensive targets. Here, a synthetic strategy was proposed integrating quantitative structure-activity relationship (QSAR), molecular dynamics (MD) simulation and binding free energy analysis to discover novel dual renin and ACE peptidic inhibitors. With the strategy a number of candidates were generated virtually, from which eight promising peptides were selected and synthesized for biological assay. Consequently, three peptides (RYLP, YTAWVP and YRAWVL) were successfully identified to have satisfactory inhibitory profile against both renin and ACE with IC50 values of <1 mM and <10 M, respectively. Structural analysis and energetic dissection revealed different binding modes of peptide to renin and ACE; a peptide only inserts its C-terminus into the active site of ACE, whereas the whole peptide packs tightly against renin. In addition, when limited to structural diversity it is hard to reconcile the renin and ACE inhibitory activities of short peptides such as dipeptides. These findings can be used to guide peptide optimization with improved biological activity.

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出版当年[2014]版:
大类 | 3 区 环境科学与生态学
小类 | 3 区 计算机:跨学科应用 3 区 环境科学 3 区 数学与计算生物学 4 区 化学综合 4 区 毒理学
最新[2025]版:
大类 | 3 区 环境科学与生态学
小类 | 3 区 化学:综合 3 区 环境科学 3 区 数学与计算生物学 3 区 毒理学 4 区 计算机:跨学科应用
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出版当年[2013]版:
Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q2 ENVIRONMENTAL SCIENCES Q2 CHEMISTRY, MULTIDISCIPLINARY Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q3 TOXICOLOGY
最新[2023]版:
Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q3 CHEMISTRY, MULTIDISCIPLINARY Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Q3 ENVIRONMENTAL SCIENCES Q3 TOXICOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2013版] 出版当年五年平均 出版前一年[2012版] 出版后一年[2014版]

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第一作者单位: [1]Jiujiang 1 Peoples Hosp Jiangxi Prov, Dept Cardiol, Jiujiang, Peoples R China
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