Browsing by Author "Kawsar, Md."

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    Characterizing Topological Properties and Network Pathway Model among Vector Borne Diseases
    (Informatics in Medicine Unlocked, Elsevier Science, 2020-03-03) Taz, Tasnimul Alam; Kawsar, Md.; Paul, Bikash Kumar; Ahmed, Kawsar; Bhuyian, Touhid
    Dengue, Malaria, and Chikungunya are vector-borne diseases, and are some of the most destructive diseases in the world. They cause millions of deaths per year. Our study, described herein, attempts to develop a significant solution in designing drugs for specified genes by analyzing the Protein-Protein Interactions (PPIs) network, topological properties, and pathway analysis. The steps of our paradigm include gene collection from the database, filtering, and finding the linkage of genes for these diseases. The initial step assists in the analysis by decreasing the total number of genes. Preprocessing, filtering, and linkage of genes were obtained by using the R language. After these analyses, we found four common genes. The topological properties for the related genes were identified. On the basis of the topological properties, Co-Expression and Physical Interaction networks were obtained. For systematic understanding of molecular mechanisms, we designed three types of gene regulatory networks. Based on our analyses, a drug is designed for the targeted genes.
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    Identification of Vital Regulatory Genes with Network Pathways among Huntington’s, Parkinson’s, and Alzheimer’s Diseases
    (Network Modeling Analysis in Health Informatics and Bioinformatics, Springer, 2020-07-16) Kawsar, Md.; Taz, Tasnimul Alam; Paul, Bikash Kumar; Ahmed, Kawsar; Habib, Md. Ahsan; Bhuyian, Touhid
    In the world, Huntington’s disease, Parkinson’s disease, and Alzheimer’s disease are reported as the most deadly diseases to issue common disorders for human beings. In state-of-the-art works, it is well studied that Huntington’s disease (HD) and Parkinson’s disease (PD) are affected by genetic factors and common motor system disorder, respectively. On the other hand, Alzheimer’s disease (AD) is a neurodegenerative disorder which is categorized by age-related dementia, behavioral changes, and memory loss, etc. In the literature, it is also identified that lots of similar genetic factors are interrelated among these diseases. In this paper, our key objective is to screen out the most significant common gene targets among HD, PD, and AD diseases. Here, the analysis attempts to discover efficient drug design for reactive genes by analyzing the topological properties of protein–protein interaction (PPI) networks. Initially, the analysis is started by reducing the number of total reactive genes (around 37 common genes) through preprocessing and cross-linkage. Afterward, we have identified five most significant hub proteins among these three diseases based on degree value. Moreover, a gene regulatory network has been designed to explain molecular mechanisms that significantly help to discover drugs for targeted genes.