Al-Mustanjid Arif Chandan Mandal Md. Habibur Rahman Department of Software Engineering, Daffodil International University (DIU), 102/1, Sukrabad, Dhanmondi, Dhaka-1207, Bangladesh Department of Information and Communication Technology, Mawlana Bhasani Science and Technology University (MBSTU), Santosh, Tangail-1902, Bangladesh Network Biology ISSN 2220-8879 http://www.iaees.org/publications/journals/nb/online-version.asp 2019 9 2 28 41 International Academy of Ecology and Environmental Sciences Hong Kong 26 March 2019 10 April 2019 1 June 2019 cardiovascular disease data mining R protein-protein interaction network drug design 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. http://www.iaees.org/publications/journals/nb/articles/2019-9(2)/design-of-a-common-pathway-drug-for-cardiovascular-diseases.pdf