Abstract
System biology network plays a crucial role to understand human diseases. Modern bioinformatics opens a new era of studying animal’s diseases. Protein–protein interaction networks (PPINs) are one of the emergent factors for improving the conviction of biological systems. Over and above, many physiological activities inside human bodies are demonstrated by these interaction networks. The cardiovascular disease (CVD) usually relates to circumstances involving reduced or blocked blood vessels that can contribute to heart attack, chest pain (angina) or stroke. In this investigation, a computational study has been done to understand the drug–protein interaction network and the protein–protein interaction network of CVD. Although this computation method based on a total of 21 responsible genes TNF, APOE, VEGFA, IL6, MTHFR, TGFB1, ESR1, ACE, IL10, HIF1A, APP, HLA-DRB1, MMP9, ADIPOQ, NFKB1, CRP, STAT3, PTGS2, CDKN2A, IL1B and VDR are noted. Besides, molecular function from this investigation has been also demonstrated and analyzed. So, it can be expected that this work will give a noted contribution to the arena of the biological and biomedical sectors.
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Abbreviations
- PPA:
-
Protein–protein association
- PPAN:
-
Protein–protein association network
- PPI:
-
Protein–protein interaction
- PPIN:
-
Protein–protein interaction network
- DPI:
-
Drug–protein interaction
- DPIN:
-
Drug–protein interaction network
- CVD:
-
Cardiovascular disease
- GO:
-
Gene ontology
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Islam, M.R., Paul, B.K., Ahmed, K., Alam, A., Rony, M. (2020). Drug–Protein Interaction Network Detection and Analysis of Cardiovascular Disease-Related Genes: A Bioinformatics Approach. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3607-6_19
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