Abstract
Genetic variations have been implicated in affecting various pharmaceutical interactions. CYP enzymes are enzymes which participate in pharmaceutical interactions and are also subject to genetic variation. However, there have been only a few tools that have been designed to enable the analysis of these genetic variations and their pharmaceutical implications. The available tools to analyze these variants tend to either require a lot of knowledge about the tools or the information produced by these tools that require further processing. To address this, a simple Dash web interface was designed to analyze the CYP enzyme's genetic variability and implicated clinical drugs. The User-Centered Methodology was partially used to implement this web interface designing, to ensure that the web interface is user-friendly and easy to use. The information gained from analyzing the variability of CYP enzymes was then visualized using Dash Plotly graphs plot, Dash HTML tables, and Dash Plotly maps. VCF files were used as the source of variant information and different population groups were used. The results from testing the web interface show that CYP enzymes do have genetic variants that affect that enzyme's ability to metabolize particular pharmaceutics and that the degree of variation between CYP enzymes is different. The result also shows that particular population groups have more genetic variation than others, indicating that the approach to genetic variability in pharmacogenetics should be taken into account in drug administration and design.