ace抑制肽的生物制药潜力

Praveen P. Balgir, M. Sharma
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引用次数: 7

摘要

生物活性肽被定义为具有激素或类药物活性的肽,其与特定受体结合,从而诱导对身体功能和健康产生积极影响的生理反应。尽管有药物可用,但对这些药物的反应在一些患者中表现出变异性和完全毒性。据报道,食物来源的肽在高血压的预防和治疗中发挥着重要作用,因此研究人员正在广泛探索基于食物的策略,以生产具有抗高血压特性的功能性食品。这些肽通过干预控制血压、液体和电解质平衡的不同生化途径发挥作用。一些靶向通路是肾素-血管紧张素系统、激肽激肽释放酶系统、交感神经系统、离子调节系统、钠转运系统和内皮素转换酶系统。这些肽比它们的天然蛋白质更具反应性,并且是通过食物来源的发酵和酶水解产生的。重组DNA技术为降压肽的生产开辟了更多途径。在本工作中,从BIOPEP数据库中选择抗高血压血管紧张素转换酶(ACE)抑制剂肽(长度2-5,来自食物来源),并使用基于网络的软件Molsoft和Molinspiration在计算机上验证其抗高血压活性。使用Molsoft计算所选肽的总体药物相似性得分。药物相似性得分越高,肽的活性就越高。利用Molinspiration预测了活性肽的疏水性、电子分布、氢键特性和分子大小等分子特性。与其他肽相比,只有8种肽WP、PLW、YPR、LPP、FP、LW、YW、RW显示出阳性的药物相似性评分和生物活性评分(不违反Lipinski规则)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biopharmaceutical Potential of ACE-Inhibitory Peptides
Bioactive peptides are defined as peptides with hormone or drug like activity that bind to specific receptors leading to induction of physiological responses with a positive impact on body functions and health. Though pharmaceuticals are available, the responses to these drugs show variability and outright toxicity in some patients. Peptides of food origin have been reported to play an important role in the prevention and treatment of hypertension therefore researchers are extensively exploring food based strategies to produce functional food products with antihypertensive properties. These peptides act by intervening in different biochemical pathways that control blood pressure, fluid and electrolyte balance. Some targeted pathways are the renin-angiotensin system, kinin-kallikrein system, sympathetic nervous system, ion regulation system, sodium-transport system and the endothelin-converting enzyme system. These peptides are more reactive than their native proteins and have been produced by fermentation and enzymatic hydrolysis of food sources. Recombinant DNA technology has opened more avenues of production of antihypertensive peptides. In the present work antihypertensive Angiotensin-Converting-Enzyme (ACE) inhibitor peptides (2-5 in length and from food source) were selected from BIOPEP database and validated in silico for anti-hypertensive activity using web-based software Molsoft and Molinspiration. An overall drug-likeness score for the selected peptides was calculated using Molsoft. The more positive the value of drug-likeness scores the more active the peptide is. The molecular properties like hydrophobicity, electron distribution, hydrogen bonding characteristics and molecular size of active peptides were predicted using Molinspiration. In comparison with others only eight peptides WP, PLW, YPR, LPP, FP, LW, YW, RW showed positive drug-likeness score and bioactivity score (not violating Lipinski’s rule).
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