Browsing by Author "Al-Mustanjid, Md."

Filter results by typing the first few letters
Now showing 1 - 3 of 3
  • No Thumbnail Available
    Item
    Detection of Molecular Signatures and Pathways Shared in Inflammatory Bowel Disease and Colorectal Cancer
    (Genomics, Elsevier Inc, 2020-09-01) Al-Mustanjid, Md.; Mahmud, S.M. Hasan; Royel, Md. Rejaul Islam; Rahman, Md. Habibur; Islam, Tania; Rahman, Md. Rezanur; Ali Mon, Mohammad; Mahmud, S.M. Hasan
    Emerging evidence indicates IBD is a risk factor for the increasing incidence of colorectal cancer (CRC) development. We used a system biology approach to identify common molecular signatures and pathways that interact between IBD and CRC and the indispensable pathological mechanisms. First, we identified 177 common differentially expressed genes (DEGs) between IBD and CRC. Gene set enrichment, protein-protein, DEGs-transcription factors, DEGs-microRNAs, protein-drug interaction, gene-disease association, Gene Ontology, pathway enrichment analyses were conducted to these common genes. The inclusion of common DEGs with bimolecular networks disclosed hub proteins (LYN, PLCB1, NPSR1, WNT5A, CDC25B, CD44, RIPK2, ASAP1), transcription factors (SCD, SLC7A5, IKZF3, SLC16A1, SLC7A11) and miRNAs (mir-335-5p, mir-26b-5p, mir-124-3p, mir-16-5p, mir-192-5p, mir-548c-3p, mir-29b-3p, mir-155-5p, mir-21–5p, mir-15a-5p). Analysis of the interaction between protein and drug discovered ASAP1 interacts with cysteine sulfonic acid and double oxidized cysteine drug compounds. Gene-disease association analysis retrieved ASAP1 also associated with pulmonary and bladder neoplasm diseases
  • No Thumbnail Available
    Item
    Enhancing Quality of Service in SDN Based on Multi-path Routing Optimization with DFS
    (2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), IEEE, 2019-12-25) Hossen, Md. Sajid; Rahman, Md. Habibur; Al-Mustanjid, Md.; Nobin, Md. Arif Shakil; Habib, Md. Ahsan
    Remarkable growth of network traffic has been noticed recently due to the use of online applications and cloud services. Thus, multiple routing problems need to solve without increasing latency to optimize the traffic. Based on the responses from industry, Software Defined Networking (SDN) has been developed to meet this challenge. SDN allows the programmable features of network and responds dynamically. In this paper, multipath routing problem in SDN is addressed and resolved under OpenFlow protocol where Ryu controllers are used to implement SDN using the Mininet WiFi emulator. Besides, in addition to a graphical user interface, a module has been developed using python programming along with OpenFlow based Ryu controller. In the simulation results, depth first search (DFS) algorithm outperforms over breadth first search (BFS) in terms of round trip time (RTT), delay and throughput. Hence, this article enhanced the quality of service (QoS) in SDN.
  • Thumbnail Image
    Item
    Systems Biology Models To Identify the Influence of SARS-CoV-2 Infections to the Progression of Human Autoimmune Diseases
    (Daffodil International University, 2022-08-02) Al-Mustanjid, Md.; Mahmud, S. M. Hasan; Akter, Farzana; Rahman, Md Shazzadur; Hossen, Md Sajid; Rahman, Md Habibur; Moni, Mohammad Ali
    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been circulating since 2019, and its global dominance is rising. Evidences suggest the respiratory illness SARS-CoV-2 has a sensitive affect on causing organ damage and other complications to the patients with autoimmune diseases (AD), posing a significant risk factor. The genetic interrelationships and molecular appearances between SARS-CoV-2 and AD are yet unknown. We carried out the transcriptomic analytical framework to delve into the SARS-CoV-2 impacts on AD progression. We analyzed both gene expression microarray and RNA-Seq datasets from SARS-CoV-2 and AD affected tissues. With neighborhood-based benchmarks and multilevel network topology, we obtained dysfunctional signaling and ontological pathways, gene disease (diseasesome) association network and protein-protein interaction network (PPIN), uncovered essential shared infection recurrence connectivities with biological insights underlying between SARS-CoV-2 and AD. We found a total of 77, 21, 9, 54 common DEGs for SARS-CoV-2 and inflammatory bowel disorder (IBD), SARS-CoV-2 and rheumatoid arthritis (RA), SARS-CoV-2 and systemic lupus erythematosus (SLE) and SARS-CoV-2 and type 1 diabetes (T1D). The enclosure of these common DEGs with bimolecular networks revealed 10 hub proteins (FYN, VEGFA, CTNNB1, KDR, STAT1, B2M, CD3G, ITGAV, TGFB3). Drugs such as amlodipine besylate, vorinostat, methylprednisolone, and disulfiram have been identified as a common ground between SARS-CoV-2 and AD from drug repurposing investigation which will stimulate the optimal selection of medications in the battle against this ongoing pandemic triggered by COVID-19.