A Relational Database Design for The Compounds Cytotoxically Active on Breast Cancer Cells

Zeynep Oktay, Ç. Erol, N. Arda
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Abstract

Breast cancer is one of the most important global health problems affecting both developed and developing countries. The identification of anticancer compounds, effective on breast cancer cells, is of key importance in chemoprevention investigations and drug development studies. In the literature, there are numerous compounds that have been analyzed for their cytotoxic effects on breast cancer cells, but there is no database where the researchers who want to design a new study on breast cancer can find these compounds all at once. This paper presents a relational database that stores the data of natural and synthetic compounds cytotoxically active on breast cancer cells. The database contains 381 cytotoxicity results and data of 159 compounds, compiled from selected 80 studies. When all this data in our database was queried, it was found out that quercetin, which is a dietary flavonoid, is the most analyzed compound, and MCF-7 cell line is the most used breast cancer cell line.
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对乳腺癌细胞具有细胞毒性活性的化合物的关系数据库设计
乳腺癌是影响发达国家和发展中国家的最重要的全球健康问题之一。对乳腺癌细胞有效的抗癌化合物的鉴定在化学预防研究和药物开发研究中具有重要意义。在文献中,有许多化合物已经被分析过它们对乳腺癌细胞的细胞毒性作用,但是没有一个数据库可以让想要设计一项新的乳腺癌研究的研究人员一次找到这些化合物。本文提出了一个关系数据库,存储对乳腺癌细胞具有细胞毒性活性的天然和合成化合物的数据。该数据库包含381个细胞毒性结果和159种化合物的数据,精选自80项研究。当我们对数据库中的所有数据进行查询时,发现槲皮素是一种膳食类黄酮,是分析最多的化合物,MCF-7细胞系是使用最多的乳腺癌细胞系。
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