Synthesis of biological potent novel 3-(3,5-bis(trifluoromethyl) phenyl)-N-aryl-1,8-naphthyridine derivatives and in vitro antimicrobial, and anticancer activity

IF 2.218 Q2 Chemistry
Kasaboina Kalyani Priya, Kavati Shireesha, Kumara Swamy Jella
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引用次数: 0

Abstract

A straight forward and efficient green method has been outlined for the construction of 3-(3,5-bis(trifluoromethyl)phenyl)-N-aryl-1,8-naphthyridin-2-amines in the presence of [Pd(PPh3)4] catalyst accomplished excellent yields in short reaction time. The compounds exhibited strongest antibacterial activity against pathogenic cell lines Staphylococcus aureus (22.5 mm, 35.5 mm), Escherichia coli (31.5 mm, 37.5 mm), and antifungal cell lines Candida albicans (35.5 mm, 35 mm), Aspergillus Niger (38.5 mm, 41.5 mm) compared with clinical drugs. Anticancer activity was conducted against cancer cell lines (breast (MCF7), SiHa (human cervix cancer cell line), and A549 cells (lung carcinoma epithelial cells). Results showed that the compounds 8h, 8d and 8i are most cytotoxic to all three cancer cell lines. IC50 valves of these molecules exhibited significant activity against cancer cell lines MCF7 (13.45 ± 0.06, 15.20 ± 0.04), SiHa (14.32 ± 0.48, 18.25 ± 0.36), and A549 (16.23 ± 0.41, 18.26 ± 0.11). To further understand molecular docking studies were conducted. The docking scores suggested strong binding affinities, and specificity for c-Met target protein.
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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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