G. Sabita , R. Savitha , K. Divya , E. Shivakumar , K. Bhaskar
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引用次数: 0
Abstract
A new series of chalcone incorporated pyrimidine-pyrazine-oxazole (9a-j) compounds and their structures were confirmed by 1HNMR, 13CNMR and mass spectral data. All compounds assessed for their preliminary anticancer applications towards four human cancer cell lines like SiHa (human cervix cancer), A549 (human lung cancer), MCF-7 (human breast cancer) and Colo-205 (human colon cancer) by using of the MTT assay used the well-known chemotherapeutic agent etoposide as a positive control. According to the obtained data, most of the tested compounds displayed stronger activity compared with etoposides. Among the five compounds 9a, 9b, 9c, 9d and 9e possessed the most promising activities in all cell lines. Predominantly, two compounds 9a and 9b showed the highest anticancer activity.
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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