In Silico Drug Design for Mycobacterium tuberculosis and Development of Host–Pathogen Interaction Network and Molecular Docking Procedures

Year : 2023 | Volume : 01 | Issue : 01 | Page : 1 19
    By

    Keerthana S,

  1. Student, Department of Biotechnology, M S Ramaiah University of Applied sciences, Bengaluru, Karnataka, India

Abstract

Objective: A leading cause of illness is the contagious disease tuberculosis (TB), this infection with Mycobacterium tuberculosis complex (MTBC) particularly M. tuberculosis and M. africanum, is what causes tuberculosis. Diverse receptor proteins (mycobacterial proteins) with various 3D structures and functions were evaluated to access the multi-domain antimycobacterial action of ligands. The specific receptor proteins PDB ID: 3PTY, PDB ID: 4OW8, PDB ID: 5KWA, and PDB ID: 3ZXR, were opted for this study to determine the antimicrobial activity and general suppression of the target bacteria. Method: In this research, Arabinosyltransferase C (3PTY), protein kinase A (4OW8), Proteasomal ATPase (5KWA), and Glutamine synthetase (3ZXR) with 50 phytocompounds and their derivatives were nominated for determining the binding affinity with target proteins. This process was carried out computationally, proteins were generated from PDB, and phytocompounds were generated from PubChem. Purification of target proteins by BIOVIA for Molecular docking which is tendered by PyRx and visualization of the 3D structures of target proteins with ligands by BIOVIA. Physiological screening of ligands by ADMETlab 2.0 and generation of Ramachandran plots and Hydrophobicity by BIOVIA and PDBsum Generate. Result: In this study, after the experimental analysis with different bioinformatics tools and software, 13 bioactive ligands with the greatest satisfactory interaction properties were chosen from 50 that are docked with the four different target Mycobacterium proteins in this investigation. Conclusion: Using computational and bioinformatics methodologies, plant anti-MTB phytocompounds with specific combating activity against particular target proteins have been outlined, and the target protein with advantages associated has been discovered.

Keywords: Contagious, diverse, suppression, purification, molecular docking, visualization, ADMET analysis

[This article belongs to International Journal of Molecular Biotechnological Research ]

How to cite this article:
Keerthana S. In Silico Drug Design for Mycobacterium tuberculosis and Development of Host–Pathogen Interaction Network and Molecular Docking Procedures. International Journal of Molecular Biotechnological Research. 2023; 01(01):1-19.
How to cite this URL:
Keerthana S. In Silico Drug Design for Mycobacterium tuberculosis and Development of Host–Pathogen Interaction Network and Molecular Docking Procedures. International Journal of Molecular Biotechnological Research. 2023; 01(01):1-19. Available from: https://journals.stmjournals.com/ijmbr/article=2023/view=104211


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References

1. Kwofie SK, Adobor C, Quansah E, Bentil J, Ampadu M, Miller III WA, et al. Molecular docking and dynamics simulations studies of OmpATb identifies four potential novel natural product-derived anti-Mycobacterium tuberculosis compounds. Comput Biol Med. 2020;122:103811. doi: 10.1016/j.compbiomed.2020.103811.
2. Sudre P, Ten Dam G, Kochi A. Tuberculosis: a global overview of the situation today. Bull World Health Organ. 1992;70(2):149–59.
3. Kanabalan RD, Lee LJ, Lee TY, Chong PP, Hassan L, Ismail R et al. Human tuberculosis and Mycobacterium tuberculosis complex: a review on genetic diversity, pathogenesis and omics approaches in host biomarkers discovery. Microbiol Res. 2021;246:126674. doi: 10.1016/j.micres.2020.126674.
4. Migliori GB, Nardell E, Yedilbayev A, D’Ambrosio L, Centis R, Tadolini M et al. Reducing tuberculosis transmission: a consensus document from the World Health Organization Regional Office for Europe. Eur Respir J. 2019;53(6). doi: 10.1183/13993003.00391–2019.
5. Das N, Jena PK, Pradhan SK. Arabinosyltransferase C enzyme of Mycobacterium tuberculosis, a potential drug target: an insight from molecular docking study. Heliyon. 2020;6(2):e02693. doi: 10.1016/j.heliyon.2019.e02693.
6. Sundar S, Thangamani L, Manivel G, Kumar P, Piramanayagam S. Molecular docking, molecular dynamics and MM/PBSA studies of FDA approved drugs for protein kinase A of Mycobacterium tuberculosis; application insights of drug repurposing. Inform Med Unlocked. 2019;16:100210. doi: 10.1016/j.imu.2019.100210.
7. Wu Y, Hu K, Li D, Bai L, Yang S, Jastrab JB et al. Mycobacterium tuberculosis proteasomal ATPase Mpa has a β‐grasp domain that hinders docking with the proteasome core protease. Mol Microbiol. 2017;105(2):227–41. doi: 10.1111/mmi.13695.
8. Suresh AJ, Ayyamperumal E, Pachamuthu M, Jesiya F, Surya PR. Design, synthesis, characterization and biological evaluation of some novel thiadiazole, imidazole and indole derivatives as antitubercular agents against target enzyme glutamine synthetase I. World J Pharm Pharm Sci. 2019;8(4):1601-10. doi: 10.20959/wjpps20194-13552.
9. Kim S, Chen J, Cheng T, Gindulyte A, He J, He S et al. PubChem 2019 update: improved access to chemical data. Nucleic Acids Res. 2019;47(D1):D1102–9. doi: 10.1093/nar/gky1033.
10. Kumar NP, Moideen K, Banurekha VV, Nair D, Babu S. Plasma proinflammatory cytokines are markers of disease severity and bacterial burden in pulmonary tuberculosis. Open Forum Infect Dis. 2019, July;6(7):ofz257. doi: 10.1093/ofid/ofz257.
11. Burley SK, Berman HM, Kleywegt GJ, Markley JL, Nakamura H, Velankar S. Protein Data Bank (PDB): the single global macromolecular structure archive. Methods in Molecular Biology (Clifton, N.J.); 2017. p. 627–41. doi: 10.1007/978–1–4939–7000–1_26.
12. Pawar SS, Rohane SH. Review on Discovery Studio: an important tool for molecular docking. Asian J Res Chem. 2021;14(1):1–3. doi: 10.5958/0974–4150.2021.00014.6.
13. Jamadagni SN, Godawat R, Garde S. Hydrophobicity of proteins and interfaces: insights from density fluctuations. Annu Rev Chem Biomol Eng. 2011;2:147–71. doi: 10.1146/annurev-chembioeng-061010–114156.
14. Gopalakrishnan K, Sowmiya G, Sheik SS, Sekar K. Ramachandran plot on the web (2.0). Protein Pept Lett. 2007;14(7):669–71. doi: 10.2174/092986607781483912.
15. Pagadala NS, Syed K, Tuszynski J. Software for molecular docking: a review. Biophys Rev. 2017;9(2):91–102. doi: 10.1007/s12551–016–0247–1.
16. Beg M, Athar F. Pharmacokinetic and molecular docking studies of Achyranthes aspera phytocompounds to exploring potential antituberculosis activity. J Bacteriol Mycol Open Access. 2020;8(1):18–27.
17. Siam MKS, Shohan MUS, Zafroon Z. Investigation of the anti-TB potential of selected alkaloid constituents using molecular docking approach [preprint]. BioRxiv. Cold Spring Harbor Laboratory. 2020. doi: 10.1101/2020.04.28.067090.
18. Billones JB, Carrillo MCO, Organo VG, Macalino SJY, Emnacen IA, Bernadette JBA. Virtual Screening Against Mycobacterium tuberculosisLipoate Protein Ligase B (MtbLipB)and In SilicoADMETEvaluation of Top Hits. Orient J Chem. 2013;29(4):1457–68. doi: 10.13005/ojc/290423.
19. Xu W, Snell LM, Guo M, Boukhaled G, Macleod BL, Li M et al. Early innate and adaptive immune perturbations determine long-term severity of chronic virus and Mycobacterium tuberculosis coinfection. Immunity. 2021;54(3):526–541.e7. doi: 10.1016/j.immuni.2021.01.003.
20. Sousa J, Cá B, Maceiras AR, Simões-Costa L, Fonseca KL, Fernandes AI, Ramos A, Carvalho T, Barros L, Magalhães C, Chiner-Oms Á, Machado H, Veiga MI, Singh A, Pereira R, Amorim A, Vieira J, Vieira CP, Bhatt A, Rodrigues F, Rodrigues PNS, Gagneux S, Castro AG, Guimarães JT, Bastos HN, Osório NS, Comas I, Saraiva M. Mycobacterium tuberculosis associated with severe tuberculosis evades cytosolic surveillance systems and modulates IL-1β production. Nat Commun. 2020 Apr 23;11(1):1949. doi: 10.1038/s41467–020–15832–6.
21. Dutta NK, Klinkenberg LG, Vazquez MJ, Segura-Carro D, Colmenarejo G, Ramon F et al. Inhibiting the stringent response blocks Mycobacterium tuberculosis entry into quiescence and reduces persistence. Sci Adv. 2019;5(3):eaav2104. doi: 10.1126/sciadv.aav2104.
22. Gagneux S. Ecology and evolution of Mycobacterium tuberculosis. Nat Rev Microbiol. 2018;16(4):202–13. doi: 10.1038/nrmicro.2018.8.


Regular Issue Subscription Original Research
Volume 01
Issue 01
Received 02/03/2023
Accepted 16/03/2023
Published 30/03/2023
Publication Time 28 Days


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