TY  - JOUR
T1  - A Relational Database Design for The Compounds Cytotoxically Active on Breast Cancer Cells
AU  - Oktay, Zeynep
AU  - Erol, Çiğdem
AU  - Arda, Nazlı
PY  - 2022
DA  - August
Y2  - 2022
DO  - 10.35377/saucis...1153071
JF  - Sakarya University Journal of Computer and Information Sciences
JO  - SAUCIS
PB  - Sakarya University
WT  - DergiPark
SN  - 2636-8129
SP  - 225
EP  - 232
VL  - 5
IS  - 2
LA  - en
AB  - 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.
KW  - relational database
KW  - relational model
KW  - breast cancer
KW  - cytotoxic compounds
KW  - cytotoxicity analyses
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        Mortality Worldwide for 36 Cancers in 185 Countries,” CA: A Cancer Journal for Clinicians, vol. 71, no. 3, pp. 209-249, 202.
CR  - [3]  E. F. Codd, “A Relational Model of Data for Large Shared Data Banks,” Communications of the ACM, vol. 13, no. 6, pp. 377-387, 1970
UR  - https://doi.org/10.35377/saucis...1153071
L1  - https://dergipark.org.tr/en/download/article-file/2572193
ER  -