Design of a common pathway drug for all types of cardiovascular diseases: A network biology approach

• Main Authors: Al-mustanjid, Chandan Mandal, Md. Habibur Rahman
• Format: Article
• Language: English
• Published: International Academy of Ecology and Environmental Sciences 2019-06-01
• Series: Network Biology
• Subjects: cardiovascular disease; data mining; R; protein-protein interaction network; drug design
• Online Access: http://www.iaees.org/publications/journals/nb/articles/2019-9(2)/design-of-a-common-pathway-drug-for-cardiovascular-diseases.pdf

More than an era among all non-communicable diseases, cardiovascular diseases have become a major concern worldwide. Cardiovascular diseases have occurred around the world because of some common risk factors. Diseases have a genetic association indirectly or directly resulting from similar risk factors. A disease is caused when a gene misses out its normal activity and affects the body negatively. Several research works have revealed the ways of how a structure-based drug from key biomolecule or protein can be designed for diseases using modern bioinformatics techniques and tools in network biology. This study evaluates protein-protein interaction network and designs a common pathway drug for all types of cardiovascular diseases. The data mining application called knowledge discovery in database (KDD) has been applied and genes are filtered, pre-processed, transformed and mined to identify common cardiovascular disease genes. Cardiovascular disease genes are collected using R from the National Center for Biotechnology Information gene database. Unihi is used as a tool for achieving the goal.