MB-Research

Publications

200+ citations on Google Scholar

Under Review

An Integrated Bioinformatics and System Biology Approaches to Identify Synergistic Effects of COVID-19 on Physiological Disorders for discovering therapeutics targets. Md. Al-Mustanjid, Saleheen Khan Sazol, S M Hasan Mahmud, Hosney Jahan, Dip Nandi, Md Habibur Rahman. (Under Review). Heliyon.
Under review
An Integrated Bioinformatics and System Biology Approaches to Identify Synergistic Effects of COVID-19 on Physiological Disorders for discovering therapeutics targets
Authors
Md. Al-Mustanjid, Saleheen Khan Sazol, S M Hasan Mahmud, Hosney Jahan, Dip Nandi, Md Habibur Rahman
Journal / venue
Heliyon
Description
This work combines bioinformatics and systems biology analyses to study how COVID-19 may interact with physiological disorders and identify potential therapeutic targets.

Thesis

Md Al Mustanjid. Risk Assessment and Drug Design using R: Heart Diseases. Undergraduate thesis.
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Published
RISK ASSESSMENT AND DRUG DESIGN USING R: HEART DISEASES
Authors
Md Al Mustanjid, Chandan Mandal
Journal / venue
Thesis
Date
Dec 30, 2018
Description
Bioinformatics handles living organism data and inspects the data using computer science facilities. Emerging modern bioinformatics tools associated with high technologies reveal a new area of drug design, it is now possible to drug design structurally. Several research works have revealed the ways of how a drug can be designed using bioinformatics techniques and tools.
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Journal

Al-Mustanjid, M., Mahmud, S. H., Akter, F., Rahman, M. S., Hossen, M. S., Rahman, M. H., & Moni, M. A. (2022). Systems biology models to identify the influence of SARS-CoV-2 infections to the progression of human autoimmune diseases. Informatics in Medicine Unlocked, 32, 101003.
Paper
Published
Systems biology models to identify the influence of SARS-CoV-2 infections to the progression of human autoimmune diseases
Authors
Al-Mustanjid, M., Mahmud, S. H., Akter, F., Rahman, M. S., Hossen, M. S., Rahman, M. H., & Moni, M. A.
Journal / venue
Informatics in Medicine Unlocked
Date
Jan 1, 2022
Publication
32, 101003
DOI
https://doi.org/10.1016/j.imu.2022.101003
Description
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.
DOI Publisher page
Mahmud, S. H., Al-Mustanjid, M., Akter, F., Rahman, M. S., Ahmed, K., Rahman, M. H., & Moni, M. A. (2021). Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients. Briefings in Bioinformatics, 22(5), bbab115.
Paper
Published
Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients
Authors
Mahmud, S. H., Al-Mustanjid, M., Akter, F., Rahman, M. S., Ahmed, K., Rahman, M. H., & Moni, M. A.
Journal / venue
Briefings in Bioinformatics
Date
Apr 13, 2021
Publication
22(5), bbab115
DOI
10.1093/bib/bbab115
Description
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), better known as COVID-19, has become a current threat to humanity. The second wave of the SARS-CoV-2 virus has hit many countries, and the confirmed COVID-19 cases are quickly spreading. Therefore, the epidemic is still passing the terrible stage. Having idiopathic pulmonary fibrosis (IPF) and chronic obstructive pulmonary disease (COPD) are the risk factors of the COVID-19, but the molecular mechanisms that underlie IPF, COPD, and CVOID-19 are not well understood. Therefore, we implemented transcriptomic analysis to detect common pathways and molecular biomarkers in IPF, COPD, and COVID-19 that help understand the linkage of SARS-CoV-2 to the IPF and COPD patients.
DOI
Al-Mustanjid, M., Mahmud, S. H., Royel, M. R. I., Rahman, M. H., Islam, T., Rahman, M. R., & Moni, M. A. (2020). Detection of molecular signatures and pathways shared in inflammatory bowel disease and colorectal cancer: A bioinformatics and systems biology approach. Genomics, 112(5), 3416-3426.
Paper
Published
Detection of molecular signatures and pathways shared in inflammatory bowel disease and colorectal cancer: a bioinformatics and systems biology approach
Authors
Al-Mustanjid, M., Mahmud, S. H., Royel, M. R. I., Rahman, M. H., Islam, T., Rahman, M. R., & Moni, M. A.
Journal / venue
Genomics
Date
Jun 12, 2020
Publication
112(5), 3416-3426
DOI
https://doi.org/10.1016/j.ygeno.2020.06.001
Description
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.
DOI Publisher page
Arif, A. M., Mandal, C., & Rahman, M. H. (2019). Design of a common pathway drug for all types of cardiovascular diseases: A network biology approach. Network Biology, 9(2), 28-41.
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Published
Design of a common pathway drug for all types of cardiovascular diseases: A network biology approach
Authors
Arif, A. M., Mandal, C., & Rahman, M. H.
Journal / venue
Network Biology
Date
Jun 1, 2019
Publication
9(2), 28-41
Description
Cardiovascular diseases remain a leading global health concern driven by shared risk factors and genetic associations. Utilizing network biology and Knowledge Discovery in Database (KDD) data mining techniques, this study analyzes protein-protein interactions to identify common disease genes and design a universal pathway drug
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Conference

Rahman, M., Rahman, Z., Al-Mustanjid, M., Uddin, M. S., & Jany, M. H. R. (2020, February). Software Process Improvement Based on Defect Prevention Using Capability and Testing Model Integration in Extreme Programming. In International Conference on Cyber Security and Computer Science (pp. 270-279). Springer, Cham.
Paper
Published
Software process improvement based on defect prevention using capability and testing model integration in extreme programming
Authors
Rahman, M., Rahman, Z., Al-Mustanjid, M., Uddin, M. S., & Jany, M. H. R.
Journal / venue
International Conference on Cyber Security and Computer Science
Publisher
Springer, Cham
Date
Jul 30, 2020
Publication
pp. 270-279
DOI
https://doi.org/10.1007/978-3-030-52856-0_21
Description
This paper integrates capability and testing models to support defect prevention and process improvement in Extreme Programming.
DOI
Hossen, M. S., Rahman, M. H., Al-Mustanjid, M., Nobin, M. A. S., & Habib, M. A. (2019, December). Enhancing Quality of Service in SDN based on Multi-path Routing Optimization with DFS. In 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI) (pp. 1-5). IEEE.
Paper
Published
Enhancing Quality of Service in SDN based on Multi-path Routing Optimization with DFS
Authors
Hossen, M. S., Rahman, M. H., Al-Mustanjid, M., Nobin, M. A. S., & Habib, M. A.
Journal / venue
2019 International Conference on Sustainable Technologies for Industry 4.0 (STI)
Publisher
IEEE
Date
Dec 24, 2019
Publication
pp. 1-5
DOI
https://doi.org/10.1109/STI47673.2019.9068057
Description
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.
DOI