About

M Nasir has completed MS Bioinformatics at COMSATS University Islamabad, Islamabad Campus. His final year research thesis was based on deep neural networks (RNN, Long Short-Term Memory) for the retrosynthetic analysis of bio-organic molecules. His focus was to device a methodology to enhance the accuracy of synthon prediction. He has good expertise in computer aided drug design particularly protein modeling, docking and Molecular Dynamics Simulation. He has a sound knowledge of modern computer programming languages. His final year research project in BS was development of a software “BMT: Bioinformatics Mini Toolbox for comprehensive genomics and proteomics analysis”. He published its paper as first author in Genomics (IF: 5.736). Based on CGPA, he was one of the top students and won Silver Medal. He also worked as Research Assistant at COMSATS University Islamabad, Sahiwal Campus under the project of Higher Education Commission Pakistan, titled “Inhibition of 2C Coxsackie B virus protein to decrease pathogenicity of diabetes mellitus Type1”. He has a deep interest in biological and chemical sciences. He has total 16 publications in international journals. He is hard working, focused and fully dedicated to study and research

Research Interests

Bioinformatics Software Development, Artificial Intelligence, Computer Aided Drug Design, and Molecular Dynamics Simulation.

Awards and Honors

100% Talent Hunt Scholarship for BS

Silver Medal in BS

Publications

Local

1. Malik A, Iqbal MN. In silico structural insight and functional evaluation to predict novel non-coding RNAs of Enterobacter cloacae complex. Biomedical Letters 2022; 8(2):202-208.

International

1. Altaf, R., Nadeem, H., Iqbal, M. N., Ilyas, U., Ashraf, Z., Imran, M., & Muhammad, S. A. (2022). Synthesis, biological evaluation, 2D-QSAR, and molecular simulation studies of dihydropyrimidinone derivatives as alkaline phosphatase Inhibitors. ACS omega, 7(8), 7139-7154.
2. Amin, A., Rasheed, M. A., Diwan, R. A., Shahid, M., Bano, S., Riaz, A., . . . Sajid, M. W. (2020). Inhibition of 2C Coxsackie B Virus Protein to Decrease Pathogenicity of Diabetes Mellitus Type 1. Current Computer-Aided Drug Design, 16(3), 318-326.
3. Balogun, T. A., Iqbal, M. N., Saibu, O. A., Akintubosun, M. O., Lateef, O. M., Nneka, U. C., . . . Omoboyowa, D. A. (2021). Discovery of potential HER2 inhibitors from Mangifera indica for the treatment of HER2-Positive breast cancer: an integrated computational approach. Journal of Biomolecular Structure and Dynamics, 1-13.
4. Iqbal, M. N., Rasheed, M. A., Awais, M., Chammam, W., Kanwal, S., Khan, S. U., . . . Tlili, I. (2020). BMT: Bioinformatics mini toolbox for comprehensive DNA and protein analysis. Genomics, 112(6), 4561-4566.
5. Mahfuz, A., Stambuk Opazo, F., Aguilar, L. F., & Iqbal, M. N. (2022). Carfilzomib as a potential inhibitor of NADH-dependent enoyl-acyl carrier protein reductases of Klebsiella pneumoniae and Mycobacterium tuberculosis as a drug target enzyme: insights from molecular docking and molecular dynamics. Journal of Biomolecular Structure and Dynamics, 40(9), 4021-4037.
6. Mahfuz, A. B., Iqbal, M. N., Opazo, F. S., & Zubair-Bin-Mahfuj, A. (2021). Characterization of ribonucleotide reductases of emerging pathogens Elizabethkingia anophelis and Elizabethkingia meningoseptica and streptonigrin as their inhibitor: a computational study. Journal of Biomolecular Structure and Dynamics, 1-13.
7. Noor, H., Ikram, A., Rathinavel, T., Kumarasamy, S., Nasir Iqbal, M., & Bashir, Z. (2022). Immunomodulatory and anti-cytokine therapeutic potential of curcumin and its derivatives for treating COVID-19–a computational modeling. Journal of Biomolecular Structure and Dynamics, 40(13), 5769-5784.
8. Omoboyowa, D. A., Iqbal, M. N., Balogun, T. A., Bodun, D. S., Fatoki, J. O., & Oyeneyin, O. E. (2022). Inhibitory potential of phytochemicals from Chromolaena odorata L. against apoptosis signal-regulatory kinase 1: A computational model against colorectal cancer. Computational Toxicology, 23, 100235.
9. Periyannan Velu, T. R., Suresh Kumarasamy, Muhammad Nasir Iqbal, Hasnat Noor, Ayesha Ikram, Karthika Rajamanickam,, & Shanmugam, G. (2022). Whole genome analysis and homology modeling of SARS-CoV-2 Indian isolate reveals potent FDA approved drug choice for treating COVID-19. Journal of Biomolecular Structure and Dynamics(https://pubmed.ncbi.nlm.nih.gov/35139758), 1-17.
10. Rajamanickam, K., Rathinavel, T., Periyannan, V., Ammashi, S., Marimuthu, S., & Nasir Iqbal, M. (2022). Molecular insight of phytocompounds from Indian spices and its hyaluronic acid conjugates to block SARS-CoV-2 viral entry. Journal of Biomolecular Structure Dynamics, 1-20.
11. Rasheed, M. A., Iqbal, M. N., Saddick, S., Ali, I., Khan, F. S., Kanwal, S., . . . Awais, M. (2021). Identification of lead compounds against Scm (fms10) in Enterococcus faecium using computer aided drug designing. Life, 11(2), 77.
12. Rathinavel, T., Iqbal, M. N., & Kumarasamy, S. (2021). Lupeol from Crateva adansonii DC Exhibits Promising Enzymes Inhibition: Play a Crucial Role in Inflammation and Diabetes. South African Journal of Botany, 143, 449-456.
13. Selvaraj, V., Rathinavel, T., Ammashi, S., & Nasir Iqbal, M. (2022). Polyphenolic Phytochemicals Exhibit Promising SARS-COV-2 Papain Like Protease (PLpro) Inhibition Validated through a Computational Approach. Polycyclic Aromatic Compounds, 1-22.
14. Thirumalaisamy, R., Aroulmoji, V., Iqbal, M. N., Deepa, M., Sivasankar, C., Khan, R., & Selvankumar, T. (2021). Molecular insights of hyaluronic acid-hydroxychloroquine conjugate as a promising drug in targeting SARS-CoV-2 viral proteins. Journal of Molecular Structure, 1238, 130457.
15. Thirumalaisamy, R., Aroulmoji, V., Iqbal, M. N., Saride, S., Bhuvaneswari, M., Deepa, M., . . . Khan, R. (2022). Molecular insights of hyaluronic acid–ethambutol and hyaluronic acid–isoniazid drug conjugates act as promising novel drugs for the treatment of tuberculosis. Journal of Biomolecular Structure and Dynamics, 1-12.

Affiliations

Department of Bioinformatics, The Islamia University of Bahawalpur, 63100-Pakistan