Cardiovascular diseases are becoming a key concern globally over an era across all non-communicable diseases. Cardiovascular diseases have been occurring around the world due to some widespread risk variables. Diseases have such a genetic association emerging from equivalent risk factors, either indirectly or directly. If a gene loses its normal activity and adversely affects the body a disease is caused. Currently, it is observed that the inability of a disease through the protein-protein interaction is more fruitful than the single gene. Multiple scientific studies have uncovered tactics to use advanced Bioinformatics strategies and tools in network biology to construct a structure-based drug from crucial biomolecule or protein for diseases. This study determines the 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 has been performed and genes are filtered, pre-processed, converted and mined to locate common genes for all types of cardiovascular diseases. To accomplish the goal, Unihi is used as a tool.
Al - Mustanjid
Al - Mustanjid was born in Bangladesh and he is an expert in Network Biology. He has research interest in Bioinformatics, Software Development Life Cycle (SDLC), Data Mining and Statistical Analysis.
Md. Habibur Rahman
Number of Pages:
LAP LAMBERT Academic Publishing
cardiovascular diseases, R, Data Mining, Protein-protein interaction, Drug design, UniHi
COMPUTERS / General