Md Al Mustanjid

Portrait of Md Al Mustanjid

NetOps Engnieer Bioinfomatics Enthusiast

I’m a NetOps Support Engineer, keeping data center, network services and infrastructure reliable at Daffodil Online Limited, a multi-service provider across nationa wide and concern of the prominent Daffodil Group. Alongside engineering, also work as a part-time Research Assistant at CAMLAs. As of that exploring how binaries, systems and biology can reveal disease mechanisms, connected pathways, and potential therapeutic targets.

This site brings together my engineering work, research, and what I’m learning along the way. You can find my CV and browse my moments.

Current research / implementationIn progress

Synergistic Effects of COVID-19 on Psychological Disorders

This work combines bioinformatics and systems-biology analyses to study how COVID-19 may interact with physiological disorders and identify potential therapeutic targets.

Areas

  • Bioinformatics
  • Systems biology
  • Drug Analysis
  • Disease comorbidities

Tools / methods

  • Computationaly Biology
  • Transcriptomic analysis
  • Gene Set Enrichment Analysis
  • Network biology
  • R
  • GEO
  • Cytoscape

Research

Latest publications

  • Under reviewMd Al Mustanjid, Saleheen Khan Sazol, S M Hasan Mahmud, Hosney Jahan, Dip Nandi, Md Habibur RahmanHeliyon

    An Integrated Bioinformatics and System Biology Approaches to Identify Synergistic Effects of COVID-19 on Psychological Disorders for Discovering Therapeutics Targets

    This work combines bioinformatics and systems biology analyses to study how COVID-19 may interact with Psychological disorders and identify potential therapeutic targets.

    Under review

    An Integrated Bioinformatics and System Biology Approaches to Identify Synergistic Effects of COVID-19 on Psychological Disorders for Discovering Therapeutics Targets

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    Md Al Mustanjid, Saleheen Khan Sazol, S M Hasan Mahmud, Hosney Jahan, Dip Nandi, Md Habibur Rahman. An Integrated Bioinformatics and System Biology Approaches to Identify Synergistic Effects of COVID-19 on Psychological Disorders for Discovering Therapeutics Targets. Heliyon

    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 Psychological disorders and identify potential therapeutic targets.

  • Al-Mustanjid, M., Mahmud, S. H., Akter, F., Rahman, M. S., Hossen, M. S., Rahman, M. H., & Moni, M. A.Informatics in Medicine Unlocked

    Systems biology models to identify the influence of SARS-CoV-2 infections to the progression of human autoimmune diseases

    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

    Published

    Systems biology models to identify the influence of SARS-CoV-2 infections to the progression of human autoimmune diseases

    Image for Systems biology models to identify the influence of SARS-CoV-2 infections to the progression of human autoimmune diseases
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    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.

    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
    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.

  • Mahmud, S. H., Al-Mustanjid, M., Akter, F., Rahman, M. S., Ahmed, K., Rahman, M. H., & Moni, M. A.Briefings in Bioinformatics

    Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients

    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

    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

    Image for Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients
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    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.

    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
    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.

  • Rahman, M., Rahman, Z., Al-Mustanjid, M., Uddin, M. S., & Jany, M. H. R.International Conference on Cyber Security and Computer Science

    Software process improvement based on defect prevention using capability and testing model integration in extreme programming

    This paper integrates capability and testing models to support defect prevention and process improvement in Extreme Programming.

    DOI

    Published

    Software process improvement based on defect prevention using capability and testing model integration in extreme programming

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    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.

    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
    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.

All research