新型2,4,5-三取代和1,2,4,5-四取代咪唑衍生物的合成及生物学评价

IF 2.218 Q2 Chemistry
Sawsan K. Abbas , Lamyaa Salih Mahdi , Jihan Hameed Abdulameer
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引用次数: 0

摘要

咪唑衍生物在药物化学中有着广泛的应用,作为生物活性化合物在药物化学中被研究。例如抗抑郁、抗炎、抗病毒、抗菌和抗真菌的特性。以天冬氨酸为催化剂,在反射条件下合成了两个系列的咪唑衍生物(1a-1f)和(2a-2f),得到了较好的收率。用FT-IR、NMR (1H &;13C)光谱方法和元素分析。所有化合物都被筛选为潜在的抗氧化和抗菌药物。在被评估的化合物中,1c、1d、2c和2d与抗坏血酸作为标准药物相比,在抗氧化试验中表现出显著的IC50。抑菌活性和抗真菌活性的筛选表明,与标准药物相比,所有化合物均具有良好至优异的抑菌活性。因此,这表明它们有潜力开发新的治疗药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synthesis and biological evaluation of new 2,4,5-trisubstituted and 1,2,4,5-tetrasubstituted imidazole derivatives as antioxidant and antimicrobial agents
Imidazole derivatives have a wide range of applications in pharmaceutical chemistry and are studied as bioactive compounds in medicinal chemistry. Such as anti-depressant, anti-inflammatory, antiviral, antimicrobial, and antifungal properties. Two series of imidazole derivatives (1a-1f) and (2a-2f), were synthesized using a simple, highly versatile, and efficient protocol that utilized aspartic acid as a catalyst under reflex conditions, resulting in good to excellent yields. The structures of all prepared compounds were characterized using FT-IR, NMR (1H & 13C) spectroscopic methods, and elemental analysis. All compounds were screened for their potential as antioxidant and antimicrobial agents. Among evaluated compounds, 1c, 1d, 2c, and 2d exhibit a predominant IC50 in antioxidant assay compared to ascorbic acid as a standard drug. The screening for antibacterial activity and antifungal activity indicated that all compounds displayed good to excellent activities compared to the standard drugs. Therefore, this suggests their potential for developing new therapeutic drugs.
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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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