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Latest thought
Birds can fly in the sky—no surprises, right? But do all birds fly in the same way? Maybe not. Some flap quickly, others glide for long distances, and some don’t fly at all (hello, ostrich!). So, why am I talking like this? Well, here lies an important concept in Object-Oriented Programming (OOP), and that is: Polymorphism.
Latest research
Al-Mustanjid, M., Mahmud, S. H., Akter, F., Rahman, M. S., Hossen, M. S., Rahman, M. H., & Moni, M. A.
Informatics in Medicine Unlocked
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.
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.
Md Al Mustanjid. Risk Assessment and Drug Design using R: Heart Diseases. Undergraduate thesis.
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.
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.
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.
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.
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.