IDENTIFICATION OF ANTI-ASTHMATIC DRUG FROM MEDICINAL PLANTS USING AN IN SILICO APPROACH

Authors

  • AAYUSHI SAHGAL Department of Sciences, St. Mary’s College, Yousufguda, Hyderabad, Telangana, India.
  • ABEER AIRAJUDDIN Department of Sciences, St. Mary’s College, Yousufguda, Hyderabad, Telangana, India.
  • SAMBARA PRAVALLIKA Department of Sciences, St. Mary’s College, Yousufguda, Hyderabad, Telangana, India.
  • VAEESHNAVI BUWA Department of Sciences, St. Mary’s College, Yousufguda, Hyderabad, Telangana, India.

DOI:

https://doi.org/10.22159/ijms.2023.v11i5.48222

Keywords:

Bioinformatics, Molecular docking, Asthma, Medicinal plants, Flavonoids, Kaempferol, Neuropeptide S receptor, Complementary and alternative medicine

Abstract

Objectives: Considering the limitations and side effects of current synthetic medications, herein, the exploration of the anti-inflammatory and antihistamine properties of medicinal plants is conducted to provide alternative treatment options for asthma and aims to identify potential anti-asthmatic drugs using an in silico approach.

Methods: A molecular docking study was performed to assess the binding affinities and interactions between the neuropeptide S receptor (NPSR) protein and 15 medicinal plants and flavonoids chosen from published literature. A Ramachandran Plot analysis was conducted to evaluate the stereochemical properties of the protein. Furthermore, to gain insights into the drug-likeness and pharmacokinetic properties of the identified ligands, ADMESAR analysis was performed to predict molecular properties and bioactivity of small molecules.

Results: Among the 15 medicinal plants investigated in this research, Kaempferol exhibited the least binding energy of −5.05, indicating a highly stable interaction with the NPSR protein. This exceptional stability suggests that Kaempferol has the potential to serve as an effective anti-asthmatic drug.

Conclusion: Asthma has no permanent cure, and the current synthetic medications raise long-term safety concerns. This study explored the use of medicinal plants and flavonoids, with Kaempferol showing promise as a potential anti-asthmatic drug candidate. This preliminary study could open avenues to further research and the use of medicinal plants in the treatment of asthma, potentially reducing reliance on synthetic drugs.

References

Dharmage SC, Perret JL, Custovic A. Epidemiology of asthma in children and adults. Front Pediatr 2019;7:246.

Holgate ST, Wenzel S, Postma DS, Weiss ST, Renz H, Sly PD. Asthma. Nat Rev Dis Primers 2015;1:15025.

Castellheim A, Brekke OL, Espevik T, Harboe M, Mollnes TE. Innate immune responses to danger signals in systemic inflammatory response syndrome and sepsis. Scand J Immunol 2009;69:479-91.

Cole P. Physiology of the nose and paranasal sinuses. Clin Rev Allergy Immunol 1998;16:25-54.

Wenzel SE. Asthma phenotypes: The evolution from clinical to molecular approaches. Nat Med 2012;18:716-25.

Pavord ID, Beasley R, Agusti A, Anderson GP, Bel E, Brusselle G, et al. After asthma: Redefining airways diseases. Lancet 2018;391:350-400.

Chen W, Fitzgerald JM, Rousseau R, Lynd LD, Tan WC, Sadatsafavi M. Complementary and alternative asthma treatments and their association with asthma control: A population-based study. BMJ Open 2013;3:e003360.

Patwardhan B, Warude D, Pushpangadan P, Bhatt N. Ayurveda and traditional Chinese medicine: A comparative overview. Evid Based Complement Alternat Med 2005;2:465-73.

Timalsina D, Pokhrel KP, Bhusal D. Pharmacologic activities of plant-derived natural products on respiratory diseases and inflammations. Biomed Res Int 2021;2021:1636816.

Laitinen T, Polvi A, Rydman P, Vendelin J, Pulkkinen V, Salmikangas P, et al. Characterization of a common susceptibility locus for asthma-related traits. Science 2004;304:300-4.

Consortium TU. UniProt: The universal protein knowledgebase in 2023. Nucleic Acids Res 2023;51:D523-31.

Yang J, Zhang Y. Protein structure and function prediction using I-TASSER. Curr Protoc Bioinformatics 2015;52:5-8.

Sobolev OV, Afonine PV, Moriarty NW, Hekkelman ML, Joosten RP, Perrakis A, et al. A global Ramachandran score identifies protein structures with unlikely stereochemistry. Structure 2020;28:1249-58.e2.

Laskowski RA, Rullmannn JA, MacArthur MW, Kaptein R, Thornton JM. AQUA and PROCHECK-NMR: Programs for checking the quality of protein structures solved by NMR. J Biomol NMR 1996;8:477-86.

Amaral-Machado L, Oliveira WN, Moreira-Oliveira SS, Pereira DT, Alencar ÉN, Tsapis N, et al. Use of natural products in asthma treatment. Evid Based Complement Alternat Med 2020;2020:1021258.

Taur DJ, Patil RY. Some medicinal plants with antiasthmatic potential: A current status. Asian Pac J Trop Biomed 2011;1:413-8.

Cheng T, Pan Y, Hao M, Wang Y, Bryant SH. PubChem applications in drug discovery: A bibliometric analysis. Drug Discov Today 2014;19:1751-6.

O’Boyle NM, Banck M, James CA, Morley C, Vandermeersch T, Hutchison GR. Open babel: An open chemical toolbox. J Cheminform 2011;3:33.

Daina A, Michielin O, Zoete V. SwissADME: A free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules. Sci Rep 2017;7:42717.

Dallakyan S, Olson AJ. Small-molecule library screening by docking with PyRx. In: Hempel JE, Williams CH, Hong CC, editors. Chemical Biology: Methods and Protocols. New York: Springer New York; 2015. p. 243-50.

Daina A, Zoete V. A BOILED-egg to predict gastrointestinal absorption and brain penetration of small molecules. ChemMedChem 2016;11:1117-21.

Forli S, Huey R, Pique ME, Sanner MF, Goodsell DS, Olson AJ. Computational protein-ligand docking and virtual drug screening with the AutoDock suite. Nat Protoc 2016;11:905-19.

Seeliger D, de Groot BL. Ligand docking and binding site analysis with PyMOL and Autodock/Vina. J Comput Aided Mol Des 2010;24:417-22.

Yalcin S. Molecular docking, drug likeness, and ADMET analyses of Passiflora compounds as P-glycoprotein (P-gp) inhibitor for the treatment of cancer. Curr Pharmacol Rep 2020;6:429-40.

Meltzer EO, Hamilos DL. Rhinosinusitis diagnosis and management for the clinician: A synopsis of recent consensus guidelines. Mayo Clin Proc 2011;86:427-43.

Spergel JM. Atopic march: Link to upper airways. Curr Opin Allergy Clin Immunol 2005;5:17-21.

Cohen K, Weinstein AM. Synthetic and non-synthetic cannabinoid drugs and their adverse effects-a review from public health prospective. Front Public Health 2018;6:162.

Singh SK, Patel JR, Dubey PK, Thakur S. A review on antiasthmatic activity of traditional medicinal plants. Int J Pharm Sci Res 2014;5:4097.

Zhang Z, Tang W. Drug metabolism in drug discovery and development. Acta Pharm Sin B 2018;8:721-32.

Wen H, Jung H, Li X. Drug delivery approaches in addressing clinical pharmacology-related issues: Opportunities and challenges. AAPS J 2015;17:1327-40.

Published

16-09-2023

How to Cite

SAHGAL, A., AIRAJUDDIN, A., PRAVALLIKA, S., & BUWA, V. (2023). IDENTIFICATION OF ANTI-ASTHMATIC DRUG FROM MEDICINAL PLANTS USING AN IN SILICO APPROACH. Innovare Journal of Medical Sciences, 11(5), 1–6. https://doi.org/10.22159/ijms.2023.v11i5.48222

Issue

Section

Original Article(s)