Abstract:
Background: Bioinformatics handles living organism data and inspects the data using
computer science facilities. Emerging modern bioinformatics tools associated with high
technologies reveal a new area of drug design, it is now possible to drug design structurally.
Several research works have revealed the ways of how a drug can be designed using
bioinformatics techniques and tools.
Objective: More than an era people are being killed by Heart diseases globally. Heart
disease is mainly known as Cardiovascular disease (CVDs). CVDs is the leading reason for
universal premature deaths. Stroke and Myocardial infarction are standing at peak position
among several CVDs in the world. Types of CVDs cover all existent frequently occurring
heart diseases. CVDs are increasing because of common risk factors gradually. Common
risk factor diseases have genetic association indirectly or directly. A disease is an abnormal
condition in a single gene that affects body negatively. Biomolecule or protein is the best
key for structure-based drug design. Data mining as well as data analysis is essential in
bioinformatics to find the desired data.
Results: Using Knowledge discovery in database (KDD) the process of data mining, genes
are filtered, preprocessed, transformed and mined to bring out common gene among 5 types
of CVDs. Protein-protein interactions (PPI) are generated from common gene to visualize
protein interactions and further evaluations.
Conclusions: This study claimed to design a common pathway drug for all types of CVDs.
The Genes associated with CVDs types are collected from NCBI database using R. To
achieve the goal UniHi is used as a tool.