Department of Pharmaceutical Technologies, Faculty of Pharmacy, Medical University of Varna, 9002 Varna, Bulgaria.
Department of Physics and Biophysics, Faculty of Pharmacy, Medical University of Varna, 9002 Varna, Bulgaria.
Int J Mol Sci. 2024 Aug 23;25(17):9170. doi: 10.3390/ijms25179170.
Phycocyanin (PC) is a naturally occurring green pigment in It was extracted by ultrasonic extraction using green technology, and its structure was studied using IR- and NMR-spectroscopy. Spectral data confirmed the PC structure. This study also involves an in silico assessment of the diverse applications of green pigment PC. Utilizing QSAR, PreADME/T, SwissADME, and Pro-Tox, this study explores the safety profile, pharmacokinetics, and potential targets of PC. QSAR analysis reveals a favorable safety profile, with the parent structure and most metabolites showing no binding to DNA or proteins. PreADME/T indicates low skin permeability, excellent intestinal absorption, and medium permeability, supporting oral administration. Distribution analysis suggests moderate plasma protein binding and cautious blood-brain barrier permeability, guiding formulation strategies. Metabolism assessments highlight interactions with key cytochrome P450 enzymes, influencing drug interactions. Target prediction analysis unveils potential targets, suggesting diverse therapeutic effects, including cardiovascular benefits, anti-inflammatory activities, neuroprotection, and immune modulation. Based on the in silico analysis, PC holds promise for various applications due to its safety, bioavailability, and potential therapeutic benefits. Experimental validation is crucial to elucidate precise molecular mechanisms, ensuring safe and effective utilization in therapeutic and dietary contexts. DFT calculations, including geometry optimization, MEP analysis, HOMO-LUMO energy surface, and quantum reactivity parameters of the PC compound, were obtained using the B3LYP/6-311G(d,p) level. This integrated approach contributes to a comprehensive understanding of PC's pharmacological profile and informs future research directions.
藻蓝蛋白(PC)是一种天然存在的绿色色素,存在于螺旋藻中。本研究采用绿色超声提取技术提取藻蓝蛋白,并利用红外光谱(IR)和核磁共振(NMR)光谱对其结构进行研究。光谱数据证实了 PC 的结构。此外,本研究还对绿色色素藻蓝蛋白的多种应用进行了计算机辅助评估。本研究利用定量构效关系(QSAR)、预 ADME/T、瑞士 ADME 和 Pro-Tox 对藻蓝蛋白的安全性、药代动力学和潜在靶点进行了分析。QSAR 分析表明,藻蓝蛋白具有良好的安全性,母体结构和大多数代谢物与 DNA 或蛋白质无结合。PreADME/T 表明其皮肤渗透率低,肠道吸收良好,中等程度的渗透性,支持口服给药。分布分析表明,藻蓝蛋白与血浆蛋白结合中等,血脑屏障通透性谨慎,为制剂策略提供指导。代谢评估突出了与关键细胞色素 P450 酶的相互作用,影响药物相互作用。靶标预测分析揭示了潜在的靶标,表明其具有多种治疗效果,包括心血管益处、抗炎活性、神经保护和免疫调节。基于计算机辅助分析,藻蓝蛋白由于其安全性、生物利用度和潜在的治疗益处,具有广泛的应用前景。实验验证对于阐明确切的分子机制至关重要,以确保在治疗和饮食环境中安全有效地利用。本研究采用 B3LYP/6-311G(d,p) 水平,对藻蓝蛋白化合物进行了密度泛函理论(DFT)计算,包括几何优化、M EP 分析、HOMO-LUMO 能面和量子反应性参数的计算。这种综合方法有助于全面了解藻蓝蛋白的药理学特征,并为未来的研究方向提供信息。