Analysis of gene network model of Thyroid Disorder and associated diseases: A bioinformatics approach
Chronic Kidney Disease (CKD), High Blood Pressure (HBP), and Thyroid Disorder (TD) diseases are interrelated. When human patients are affected by one of them, then the possibility of affectness by the other two diseases is increased. Background studies indicate that there are large numbers of simila...
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doaj-c8b1a8de02ef48e1aa0ce23a6b183d842020-11-25T03:34:50ZengElsevierInformatics in Medicine Unlocked2352-91482020-01-0120100381Analysis of gene network model of Thyroid Disorder and associated diseases: A bioinformatics approachMd Kawsar0Tasnimul Alam Taz1Bikash Kumar Paul2Shahin Mahmud3Md Manowarul Islam4Touhid Bhuyian5Kawsar Ahmed6Department of Software Engineering, Daffodil International University, Sukrabad, Dhanmondi, Dhaka, BangladeshDepartment of Software Engineering, Daffodil International University, Sukrabad, Dhanmondi, Dhaka, BangladeshDepartment of Software Engineering, Daffodil International University, Sukrabad, Dhanmondi, Dhaka, Bangladesh; Department of Information and Communication Technology (ICT), Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail, 1902, Bangladesh; Group of Bio-photomatiχ, Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail, 1902, BangladeshDepartment of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail, 1902, BangladeshDepartment of Computer Scince and Engineering, Jagannath University, Dhaka, 1100, BangladeshDepartment of Software Engineering, Daffodil International University, Sukrabad, Dhanmondi, Dhaka, BangladeshDepartment of Information and Communication Technology (ICT), Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail, 1902, Bangladesh; Group of Bio-photomatiχ, Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail, 1902, Bangladesh; Corresponding author. Department of Information and Communication Technology (ICT), Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail, 1902, Bangladesh.,Chronic Kidney Disease (CKD), High Blood Pressure (HBP), and Thyroid Disorder (TD) diseases are interrelated. When human patients are affected by one of them, then the possibility of affectness by the other two diseases is increased. Background studies indicate that there are large numbers of similar biological and genetic features among HBP, CKD, and TD. For this reason, the common gene network models among these three diseases are explored. The gene number is reduced through preprocessing and filtering. Then the common genes among the selected diseases and the most significant genes are explored. After completing this process, ten common genes among HBP, CKD, and TD are recognized. This analysis identifies the most significant hub proteins based on biological, biochemical, and genetic relationships between common genes. Following these relationships, the Protein-Protein Interactions network, Co-Expression network, Enrichment Analysis, Topological properties analysis, Gene regulatory network, and Physical Interaction network are exhibited. This analysis helps us to identify similar biological and genetic features among HBP, CKD, and TD. Interaction of proteins with drug molecules enables an efficient drug design for this research. These drugs can be considered for further verification by chemical experiments.http://www.sciencedirect.com/science/article/pii/S2352914820303178High blood pressureChronic kidney diseaseThyroid disordersCo-expression networkTopological properties analysisGene regulatory network |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Md Kawsar Tasnimul Alam Taz Bikash Kumar Paul Shahin Mahmud Md Manowarul Islam Touhid Bhuyian Kawsar Ahmed |
spellingShingle |
Md Kawsar Tasnimul Alam Taz Bikash Kumar Paul Shahin Mahmud Md Manowarul Islam Touhid Bhuyian Kawsar Ahmed Analysis of gene network model of Thyroid Disorder and associated diseases: A bioinformatics approach Informatics in Medicine Unlocked High blood pressure Chronic kidney disease Thyroid disorders Co-expression network Topological properties analysis Gene regulatory network |
author_facet |
Md Kawsar Tasnimul Alam Taz Bikash Kumar Paul Shahin Mahmud Md Manowarul Islam Touhid Bhuyian Kawsar Ahmed |
author_sort |
Md Kawsar |
title |
Analysis of gene network model of Thyroid Disorder and associated diseases: A bioinformatics approach |
title_short |
Analysis of gene network model of Thyroid Disorder and associated diseases: A bioinformatics approach |
title_full |
Analysis of gene network model of Thyroid Disorder and associated diseases: A bioinformatics approach |
title_fullStr |
Analysis of gene network model of Thyroid Disorder and associated diseases: A bioinformatics approach |
title_full_unstemmed |
Analysis of gene network model of Thyroid Disorder and associated diseases: A bioinformatics approach |
title_sort |
analysis of gene network model of thyroid disorder and associated diseases: a bioinformatics approach |
publisher |
Elsevier |
series |
Informatics in Medicine Unlocked |
issn |
2352-9148 |
publishDate |
2020-01-01 |
description |
Chronic Kidney Disease (CKD), High Blood Pressure (HBP), and Thyroid Disorder (TD) diseases are interrelated. When human patients are affected by one of them, then the possibility of affectness by the other two diseases is increased. Background studies indicate that there are large numbers of similar biological and genetic features among HBP, CKD, and TD. For this reason, the common gene network models among these three diseases are explored. The gene number is reduced through preprocessing and filtering. Then the common genes among the selected diseases and the most significant genes are explored. After completing this process, ten common genes among HBP, CKD, and TD are recognized. This analysis identifies the most significant hub proteins based on biological, biochemical, and genetic relationships between common genes. Following these relationships, the Protein-Protein Interactions network, Co-Expression network, Enrichment Analysis, Topological properties analysis, Gene regulatory network, and Physical Interaction network are exhibited. This analysis helps us to identify similar biological and genetic features among HBP, CKD, and TD. Interaction of proteins with drug molecules enables an efficient drug design for this research. These drugs can be considered for further verification by chemical experiments. |
topic |
High blood pressure Chronic kidney disease Thyroid disorders Co-expression network Topological properties analysis Gene regulatory network |
url |
http://www.sciencedirect.com/science/article/pii/S2352914820303178 |
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