Computational Systems Biology
Dr. Bashir Sajo Mienda

Dr. Bashir Sajo Mienda

Lecturer in Systems Biology
Biotechnologist

b.miendaspam prevention@fud.edu.ng

Bibliography

Publons
Google Scholar
ORCID

Curriculum Vitae

2020-2021
Postdoctoral Researcher and Lecturer

Lecturer in systems biology in the winter term 2020/21 in the research group for computational systems biology of infections and antimicrobial-resistant pathogens under the direction of Jun.-Prof. Dr. Andreas Dräger.

2019-2020
Associate Professor of Biotechnology and Deputy Dean Postgraduate School

An Associate Professor of Biotechnology with expertise in Systems Metabolic Engineering and Synthetic Biology at Federal University Dutse, Jigawa State Nigeria.

2013-2016
Ph.D Student at the University of Technology Malaysia (UTM)

Studied Ph.D in Bioscience/Bioengineering with a title " Model-guided metabolic gene knockouts strategies for enhanced succinct acid production in Escherichia coli K12".

2011-2012
M.Sc. Student at the University of Technology Malaysia (UTM)

M.Sc. Biotechnology.

Specialty: Enzymes and Microbial Technology

2002-2006
B.Sc. Student at Bayero University Kano (BUK)

B.Sc. Microbiology

Completed Research Projects

Teach@Tübingen

Program for the internationalization and diversification of the university's educational offer – funded by the Institutional Strategy of the University of Tübingen (German Research Foundation DFG, ZUK 63).

2020

Funding for the class Systems Biology I taught by Dr. Bashir S. Mienda and Dr. Reihaneh Mostolizadeh.

Teaching

Systems Biology I (BIOINF3371)

Lecture with Excercises

Due to the COVID-19 pandemic, this course will take place virtually every Tuesday at 2 p.m. via ZOOM link placed in the ILIAs page until further notice. The weekly tutorial session will take place every Thursday at 4 p.m. via ZOOM link too. If you encounter any difficulties accessing the information, please contact either Dr. Reihaneh Mostolizadeh or Dr. Bashir S. Mienda.
This year, “Systems biology I” is conducted in a flipped classroom. Students watch lectures and pre-recorded videos while engaging in concepts, collaborating in weekly discussions with lecturers’ guidance of the lecture hour’s content. Emphasis will be on quintessential approaches and answering questions. In the tutorial, the students work in groups to solve homework problems and complete a term project.

Lecturers: Dr. Reihaneh Mostolizadeh and Dr. Bashir S. Mienda

Alma
ILIAS
Syllabus

Selected Publications

  1. Genome-Scale Metabolic Modeling of Escherichia coli and Its Chassis Design for Synthetic Biology Applications.
    Bashir Sajo Mienda and Andreas Dräger
    Computational Methods in Synthetic Biology, Mario Andrea Marchisio (editor), part of the series Methods in Molecular Biology (MIMB, volume 2189), pp. 217-229, November 13th 2020.
    [ Details | DOI | PubMed | PDF | BibTeX ]
  2. Escherichia coli Genome-scale metabolic models could guide construction of proof-of-principle strains.
    Bashir Sajo Mienda
    Editorial. AIMS Bioengineering (2018), 5(2): 103–105
    [ DOI ] [ PDF ]
  3. Genome-scale metabolic modelling for succinic acid production in Escherichia coli.
    Bashir Sajo Mienda
    Current Metabolomics, Volume 6, Number 3, 2018, pp. 170-175(6)
    [ DOI ]
  4. Genome-scale metabolic models as platforms for identification of novel genes as antimicrobial drug targets.
    Bashir Sajo Mienda, Rabiu Salihu, Aliyu Adamu, and Shehu Idris.
    Future Microbiology, Volume 13, Number 4,  2018.
    [ DOI ] [ PubMed ]
  5. Model-guided metabolic gene knockout of pflA in Escherichia coli increases succinic acid production from glycerol carbon source.
    Bashir Sajo Mienda, Aliyu Adamu, and Mohd Shahir Shamsir
    Current Metabolomics, Volume 6 , Issue 3 , 2018.
    [ DOI ]
  6. Genome-scale metabolic models as platforms for strain design and biological discovery.
    Bashir Sajo Mienda.
    Journal of Biomolecular Structure & Dynamics. Volume 35, issue 9 2017.
    [ DOI ] [ PubMed ]
  7. Model-guided metabolic gene knockout of gnd for enhanced succinate production in Escherichia coli from glucose and glycerol substrates.
    Bashir Sajo Mienda, Mohd Shahir Shamsir, and Rosli Md Illias.
    Computational Biology and Chemistry 61(2016) 130-137.
    [ DOI ] [ PubMed ]
  8. Model-aided atpE gene knockout strategy in Escherichia coli for enhanced succinic acid production from glycerol.
    Bashir Sajo Mienda, Mohd Shahir Shamsir, and Rosli Md. Illias.
    Journal of Biomolecular Structure & Dynamics, Volume 34, issue 8, 2016.
    [ DOI ] [ PubMed ]
  9. Model-assisted formate dehydrogenase-O (fdoH) gene knockout for enhanced succinate production in Escherichia coli from glucose and glycerol carbon sources.
    Bashir Sajo Mienda, Mohd Shahir Shamsir, and Rosli Md. Illias
    [ DOI ] [ PubMed ]
  10. In silico deletion of PtsG Gene in Escherichia coli Genome Scale Model predicts Increased Succinate Production from Glycerol.
    Journal of Biomolecular Structure & Dynamics, Volume 33, Issue 11, 2015.
    Bashir Sajo Mienda, and Mohd Shahir Shamsir
    Journal of Biomolecular Structure & Dynamics, Volume 34, Issue 11, 2016 
    [ DOI ] [ PubMed ]
  11. An overview of pathway prediction tools for synthetic design of microbial chemical factories.
    Bashir Sajo Mienda, and Mohd Shahir Shamsir
    AIMS Bioengineering, 2(1), pp. 1 - 14, 2015.
    [ DOI ] [ PDF ]
  12. In silico Prediction of Escherichia coli Metabolic Engineering Capabilities for 1-butanol Production.
    Bashir Sajo Mienda, and Mohd Shahir Shamsir
    Current Science, Volume 108, Number 4, 2015.
    [ DOI ] [ PDF ]
  13. Model-driven in silico glpC gene knockout predicts increased succinate production from glycerol in Escherichia coli.
    Bashir Sajo Mienda and Mohd Shahir Shamsir
    AIMS Bioengineering, 4(2), pp. 40 - 18,  2015.
    [ DOI ] [ PDF ]
  14. Escherichia coli genome-scale metabolic gene knockout of lactate dehydrogenase (ldhA), increases succinate production from glycerol.
    Bashir Sajo Mienda
    Journal of Biomolecular Structure & Dynamics, Volume 36, Issue 14, 2018
    [ DOI ] [ PubMed ]
  15. Bio-succinic acid production: Escherichia coli strains design from genome-scale perspectives.
    Bashir Sajo Mienda and Faezah Mohd Salleh.
    AIMS Bioengineering 4(4), pp. 418 - 430, 2017.
    [ DOI ] [ PDF ]
  16. In silico Evaluation of the Effect of pfl Gene Knockout on the Production of ᴅ-lactate by Escherichia coli Genome Scale Model using the OptFlux Software Platform.
    Bashir Sajo Mienda, Mohd Shahir Shamsir, and Faezah Mohd Salleh
    Indian Journal of Science & Technology 8(2), 172–177, January 2015.
    [ DOI ] [ PDF ]
  17. Model-guided in silico Overexpression of adhE Gene Predicts Increased Ethanol Production in Escherichia coli from Xylose.
    Bashir Sajo Mienda and Mohd Shahir Shamsir 
    Bioengineering and Bioscience 3(3): 39-43, 2015.
    [ DOI ] [ PDF ]
  18. In silico prediction of gene knockout candidates in Escherichia coli genome-scale model for enhanced succinic acid production from glycerol.
    Bashir Sajo Mienda and Mohd Shahir Shamsir
    Current Science, Volume 108, Number 6, 2015
    [ PDF ]
  19. Enhanced Succinic Acid Production in Escherichia coli by Model-Guided Metabolic Gene Knockout of pflA Using Glucose Carbon Source.
    Bashir Sajo Mienda
    Journal of Biotechnology & Bioresearch. 1(1): 2018.
    [ PDF ]
  20. Theoretical analyses on enantiospecificity of ʟ-2-haloacid dehalogenase (DehL) from Rhizobium sp. RC1 towards 2-chloropropionic acid.
    Aliyu Adamu,  Roswanira Abdul Wahab, Firdausi Aliyu, Fazira Ilyana Abdul Razak, Bashir Sajo Mienda, Mohd Shahir Shamsir and Fahrul Huyop.
    Journal of Molecular Graphics and Modelling 92 (2019) 131-139
    [ DOI ] [ PubMed ] [ PDF ]