含苯并噻唑-恶唑-吡嗪的查尔酮官能团作为抗癌剂的设计、合成和抗癌评估

IF 2.218 Q2 Chemistry Chemical Data Collections Pub Date : 2024-06-17 DOI:10.1016/j.cdc.2024.101153
P. Venkata Ramana Reddy , Dasari Sravani , Dittakavi Ramachandran , Ponnuri Bharath
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引用次数: 0

摘要

本研究设计、合成了一个新的含苯并噻唑-噁唑-吡嗪(10a-j)衍生物的查尔酮官能团,并采用 MTT 法筛选了它们对 MCF-7(乳腺癌)、A549(肺癌)、Colo-205(结肠癌)和amp; A2780(卵巢癌)等四种人类癌细胞系的抗癌活性。结果与作为阳性对照的依托泊苷进行了比较。与依托泊苷相比,大多数受试化合物显示出良好至中等程度的活性。其中,化合物 10j 对 MCF-7、A549、Colo-205 和 A2780 细胞株具有强效抗癌活性,IC50 值分别为 0.01 ± 0.0073 µM、0.03 ± 0.0087 µM、0.06 ± 0.0066 µM 和 0.13 ± 0.055 µM
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Design, synthesis and anticancer evaluation of chalcone functionality bearing benzothiazol-oxazole-pyrazine as anticancer agents

A new library of chalcone functionality bearing benzothiazol-oxazole-pyrazine (10a-j) derivatives were designed, synthesized and screened for their anticancer activity against four human cancer cell lines such as MCF-7 (breast cancer), A549 (lung cancer), Colo-205 (colon cancer) & A2780 (ovarian cancer) by employing the MTT assay. The results were compared with the etoposide used as a positive control. Most of the tested compounds displayed good to moderate activity compared to etoposide. Among them, compound 10j showed potent anticancer activity against MCF-7, A549, Colo-205, and A2780 cell lines with IC50 values of 0.01 ± 0.0073 µM, 0.03 ± 0.0087 µM, 0.06 ± 0.0066 µM, and 0.13 ± 0.055 µM respectively

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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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