İlaç-ilaç etkileşimleri analizi için genotip kataloğu

Polypharmacy is an essential practice in today's therapeutics, especially in the care of older population. Most polypharmacy-induced drug-drug interactions (DDIs) are often discovered after drugs are put on the market. Health problems and economic burden due to unpredicted DDIs put the health system in a difficult situation. Therefore, increasing the predictability of DDIs has become one of the most critical concerns towards improving treatment success. Being dependent on several underlying parameters makes DDIs challenging to foresee. One of the most significant determinants of these underlying parameters is genetic variability. Therefore, a more profound knowledge of the DDI-genetic relationship, called drug-drug-gene interactions (DDGI), will improve treatment success. This study aims to design a relational database named DDGICat, which was designed to contribute to the ongoing DDGI research by serving as a guideline to prescribers, researchers, and the pharmaceutical industry. The content of the DDGICat was derived from other knowledge bases, including DrugBank, PharmGKB, Ensembl, KEGG Drug, and ONC High. DDGICat contains drugs, drug target proteins, drug-associated SNPs, DDIs, drug-gene interactions (DGIs), and DDGIs. Additionally, a developed web portal named DDGICat Browser provides the results of mentioned content in both tabular and graphical formats. Furthermore, the end products of this study are tested in a case study on a chosen disease.