In silico analysis of Cucumis pubescens Willd. fruit extract phytocompounds and its activity against anti-diabetic targets

Authors

  • Thirumalaisamy SUNDARI Sri Sarada College for Women (Autonomous), PG & Research Department of Chemistry, Salem 636 016 Tamil Nadu (IN)
  • Ramasamy KAVITHA Sri Sarada College for Women (Autonomous), PG & Research Department of Chemistry, Salem 636 016 Tamil Nadu (IN)
  • Manoharan AARTHI K.S. Rangasamy College of Arts and Science (Autonomous), Department of Biotechnology, Tiruchengode-637215 Tamil Nadu (IN)

DOI:

https://doi.org/10.55779/nsb16312049

Keywords:

α – amylase, β – glucosidase, anti-diabetic, auto dock Vina, Cucumis pubescens Willd, lipase-related Protein 2, molecular docking, phytocompounds

Abstract

Diabetes mellitus is a chronic disease which causes complications in a large population worldwide. Traditionally, medicinal plants possess numerous bioactive compounds to treat chronic diseases. In this study, the bioactive compounds in Cucumis pubescens Willd. were screened computationally to treat diabetes. Ten ligand molecules from C. pubescens Willd. plant fruit were selected from GC-MS analysis. The target proteins like Lipase-related Protein 2 (2OXE), α – amylase (2QV4) and β – Glucosidase (2ZOX) were retrieved from the PDB databank. The proteins have been selected based on their role in anti-diabetic activity. All ten ligands were docked with all three proteins to identify the suitable ligand possessing high binding energy. The ligand (4H-Pyran-4-one, 2,3-Dihydro 3,5-Dihydroxy-6-Methyl) had a maximum binding energy of -4.3 kcal/mol and -4.4 kcal/mol with the targets 2OXE and 2ZOX respectively. The ligand molecule 1,4-dimethyl-2,3-diazabicyclo[2.2.1]hept-2-ene produced the highest binding energy of -4.7 kcal/mol with 2QV4. The predicted active phytochemicals can be used as natural drug molecules to treat diabetes mellitus in future.

Metrics

Metrics Loading ...

References

Agbo EN, Segoddi RS, Gumede NJ, Poopedi KW, Leboho TC, Nxumalo W (2024). Synthesis, in vitro enzyme kinetics and molecular docking studies of the 2-formylphenyl sulfonates and their hydrazone derivatives as potential and anti-diabetic and anti-inflammatory agents. Results in Chemistry 7:101453. https://doi.org/10.1016/j.rechem.2024.101453

Akintemi EO, Govender KK, Singh T (2023). Molecular dynamics and docking investigation of flavonol aglycones against sulfonylurea receptor 1 (SUR1) for antidiabetic drug design. Chemistry Select. http://doi.org/10.1002/slct.202302488

Ali J, Camilleri P, Brown MB, Hutt AJ, Kirton SB (2012). Revisiting the general solubility equation: in silico prediction of aqueous solubility incorporating the effect of topographical polar surface area. Journal of Chemical Information and Modeling 52(2):420-8. https://doi.org/10.1021/ci200387c

Ali MA, Pandey AK, Lee J (2009). Taxonomic relationships among the genera of subfamily Cucurbitoideae (family Cucurbitaceae) from India inferred from ITS sequences of nuclear ribosomal DNA. Phytomorphology 59(3&4):127-40.

Ali MA, Pandey AK (2006). Cucurbitaceae of Bihar: diversity and conservation. Global Biodiversity Status and Conservation. Pointer Publisher, Jaipur, Rajasthan, India. Pp 257-263.

Boucher HW, Ambrose PG, Chambers HF, Ebright RH, Jezek A, Murray BE, Newland JG, Ostrowsky B, Rex JH (2017). Infectious Diseases Society of America. White paper: developing antimicrobial drugs for resistant pathogens, narrow-spectrum indications, and unmet needs. The Journal of Infectious Diseases 216(2):228-236. https://doi.org/10.1093/infdis/jix211

Brown ED, Wright GD (2016). Antibacterial drug discovery in the resistance era. Nature 529(7586):336-343. https://doi.org/10.1038/nature17042

Chen HY, Lin YH, Huang JW, Chen YC (2015). Chinese herbal medicine network and core treatments for allergic skin diseases: Implications from a nationwide database. Journal of Ethnopharmacology 168:260-267. https://doi.org/10.1016/j.jep.2015.04.002

Chen JC, Chiu MH, Nie RL, Cordell GA, Qiu SX (2005). Cucurbitacins and cucurbitane glycosides: structures and biological activities. Natural Products Reports 22(3):386-99. https://doi.org/10.1039/b418841c

Colquitt RB, Colquhoun DA, Thiele RH (2011). In silico modelling of physiologic systems. Best Practice & Research in Clinical Anaesthesia 25(4):499-510. https://doi.org/10.1016/j.bpa.2011.08.006

Daina A, Michielin O, Zoete V (2017). Swiss ADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules. Scientific Reports 3;7(1):42717. https://doi.org/10.1038/srep42717.

Delaney JS (2004). ESOL: estimating aqueous solubility directly from molecular structure. Journal of Chemical information and Computer Science 44(3):1000-1005. https://doi.org/10.1021/ci034243x

Dilek Tepe H, Doyuk F (2020). Determination of phytochemical content by chromatographic methods and antioxidant capacity in methanolic extract of jujube (Zizyphus jujuba Mill.) and oleaster (Elaeagnus angustifolia L.). International Journal of Fruit Science 20(sup3):S1876-90. https://doi.org/10.1080/15538362.2020.1834900

Egan WJ, Merz KM, Baldwin JJ (2000). Prediction of drug absorption using multivariate statistics. Journal of Medicinal Chemistry. 43(21):3867-77. https://doi.org/10.1021/jm000292e

Ekins S, Mestres J, Testa B (2007). In silico pharmacology for drug discovery: applications to targets and beyond. Brazilian Journal of Pharmacology 152(1):21-37. https://doi.org/10.1038/sj.bjp.0707306

Florencia A, Alex B (2014). IDF Diabetes Atlas, 6th ed. Brussels, Belgium: International Diabetes Federation; pp 1-160.

Ghose AK, Viswanadhan VN, Wendoloski JJ (1999). A knowledge-based approach in designing combinatorial or medicinal chemistry libraries for drug discovery. 1. A qualitative and quantitative characterization of known drug databases. Journal of combinatorial chemistry 1(1):55-68. https://doi.org/10.1021/cc9800071

Gopalasatheeskumar K, Ariharasivakumar G, Kalaichelvan VK, Sengottuvel T, Devan VS, Srividhya V (2020). Antihyperglycemic and antihyperlipidemic activities of wild musk melon (Cucumis melo var. agrestis) in streptozotocin-nicotinamide induced diabetic rats. Chinese Herbal Medicine 12(4):399-405. https://doi.org/10.1016/j.chmed.2020.02.005

Gorlenko CL, Kiselev HY, Budanova EV, Zamyatnin Jr AA, Ikryannikova LN (2020). Plant secondary metabolites in the battle of drugs and drug-resistant bacteria: new heroes or worse clones of antibiotics?. Antibiotics 9(4):170. https://doi.org/10.3390/antibiotics9040170

Gurung AB, Ali MA, Lee J, Farah MA, Al-Anazi KM (2021). Molecular docking and dynamics simulation study of bioactive compounds from Ficus carica L. with important anticancer drug targets. Plos One 16(7):e0254035. https://doi.org/10.1371/journal.pone.0254035

Jeffrey C (2005). A new system of Cucurbitaceae. Botaniske Zhurnal 90(3):332-5.

Jhong CH, Riyaphan J, Lin SH, Chia YC, Weng CF (2015). Screening alpha glucosidase and alpha amylase inhibitors from natural compounds by molecular docking in silico. Biofactors 41(4):242-251. https://doi.org/10.1002/biof.1219

Khandelwal S, Khurana SMP (2019). Molecular docking studies and GC-MS analysis of the antimicrobial compounds isolated from leaves of Moringa oleifera. Medicinal Plants - International Journal of Phytomedicines and Related Industries 11(1):95-103. https://doi.org/10.1038/s41598-022-07320-2

Khodakhah A, Mohammadi H, Abdoli S (2024). Synthesis and molecular docking studies of new aryl imeglimin derivatives as a potent antidiabetic agent in a diabetic zebrafish model. Scientific Reports 14:9410 https://doi.org/10.1038/s41598-024-60206-3

Kumar A, Singh SK, Singh VK, Kant C, Singh AK, Tripathi V, Singh K, Sharma VK, Singh J (2022). An insight into the molecular docking interactions of plant secondary metabolites with virulent factors causing common human diseases. South African Journal of Botany 149:1008-1016. https://doi.org/10.3390/antiox10121990

Kumar NM, Vinay R, Mahmood R, Krishna V, Shankara B, Ravi K, Kumar S, Ravi K (2021). In vitro evaluation of antibacterial and molecular docking studies of Gardenia gummifera fruit methanol extract. International Journal of Botany Studies 6(3):321-325.

Lacroix IM, LiChan EC (2014). Overview of food products and dietary constituents with antidiabetic properties and their putative mechanisms of action: A natural approach to complement pharmacotherapy in managing diabetes. Molecular Nutrition & Food Research 58(1):61-78. https://doi.org/10.1002/mnfr.201300223

Lipinski CA, Lombardo F, Dominy BW, Feeney PJ (2001). Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Advances in Drug Delivery Review 23(1-3):3-25. https://doi.org/10.1016/s0169-409x(00)00129-0

Ma S, Cutter J, Tan CE, Chew SK, Tai ES (2003). Associations of diabetes mellitus and ethnicity with mortality in a multiethnic Asian population: data from the 1992 Singapore National Health Survey. American Journal of Epidemiology 15:543-552. https://doi.org/10.1093/aje/kwg199.

Muegge I, Heald SL, Brittelli D (2001). Simple selection criteria for drug-like chemical matter. Journal of Medicinal Chemistry 44(12):1841-6. https://doi.org/ 10.1021/jm015507e

Newman DJ, Cragg GM (2012). Natural products as sources of new drugs over the 30 years from 1981 to 2010. Journal of Natural Products 75(3):311-35. https://doi.org/10.1021/np200906s.

O'Boyle NM, Banck M, James CA, Morley C, Vandermeersch T, Hutchison GR (2011). Open Babel: An open chemical toolbox. Journal of Cheminformatics 3:1-4. https://doi.org/10.1186/1758-2946-3-33

Ogurtsova K, da Rocha Fernandes JD, Huang Y, Linnenkamp U, Guariguata L, Cho NH, Cavan D, Shaw JE, Makaroff LE (2017). IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040. Diabetics Research and Clinical Practice 128:40-50. https://doi.org/10.1016/j.diabres.2017.03.024

Patel DK, Kumar R, Prasad SK, Sairam K, Hemalatha S (2011). Antidiabetic and in vitro antioxidant potential of Hybanthus enneaspermus (Linn) F. Muell in streptozotocin–induced diabetic rats. Asian Pacific Journal of Tropical Biomedicine 1(4):316-322. https://doi.org/10.1016/S2221-1691(11)60051-8

Perera N, Ritchie RH, Tate M (2019). The role of bone morphogenetic proteins in diabetic complications. ACS Pharmacology & Trans Science 3(1):11-20. https://doi.org/10.1021/acsptsci.9b00064

Punthakee Z, Goldenberg R, Katz P (2018). Definition, classification and diagnosis of diabetes, prediabetes and metabolic syndrome. Canadian Journal of Diabetics 42:S10-5. https://doi.org/10.1016/j.jcjd.2017.10.003

Semeraro F, Cancarini A, Rezzola S, Romano MR, Costagliola C (2015). Diabetic retinopathy: vascular and inflammatory disease. Journal of Diabetic Research 582060. https://doi.org/10.1155/2015/582060

Shakya AK (2016) Medicinal plants: Future source of new drugs. International Journal of Herbal Medicine 4(4):59-64.

Singh AK, Singh SK, Singh PP, Srivastava AK, Pandey KD, Kumar A, Yadav H (2018). Biotechnological aspects of plant metabolites in treating ulcer: A new prospective. Biotechnology Reports 18:e00256. https://doi.org/10.1016/j.btre.2018.e00256

Sundari T, Kavitha R (2024a). In vitro assessing of Cucumis pubescens Willd. fruit extract for phytochemical, antibacterial, antioxidants and toxicity assays. Journal of the Indian Chemical Society 101:101176. https://doi.org/10.1016/j.jics.2024.101176

Sundari T, Kavitha R, Srinivasan P (2024b). Chemo profiling of Cucumis pubescens Willd. a medicinal plant from Cucurbitaceae. Journal of Phytology 16(1):127-132. https://doi.org/10.25081/jp.2024.v16.8938

Sundari T, Kavitha R, Mythili Gnanamangai B, Saranya S (2024c). Assessment of in vitro antioxidant properties and anticancer potential of Cucumis pubescens Willd, a medicinal fruit, utilizing Human Lung cancer Cell line (A549). Journal of Applied Biology and Biotechnology 12(6):185-192. https://doi.org/10.7 324/JABB.2024.194161

Usman AA, Muhammad R, Erum Y, Muhammad QSMM (2017). Computer-aided drug designing: a safari to drug formulation. In: Berhardt LV, ed. Advances in Medicine and Biology. New York: Nova Science Publishers Inc; 2017:155-173.

Veber DF, Johnson SR, Cheng HY, Smith BR, Ward KW, Kopple KD (2002). Molecular properties that influence the oral bioavailability of drug candidates. Journal of Medicinal Chemistry 45(12):2615-23. https://doi.org/10.1021/jm020017n

Venkatachalam CM, Jiang X, Oldfield T, Waldman M (2003). LigandFit: a novel method for the shape-directed rapid docking of ligands to protein active sites. Journal of Molecular Graphics and Modeling 21(4):289-307. https://doi.org/10.1016/s1093-3263(02)00164-x

Vilar S, Sobarzo-Sanchez E, Santana L, Uriarte E (2017). Molecular docking and drug discovery in β-adrenergic receptors. Current Medicinal Chemistry 24(39):4340-59. https://doi.org/10.2174/0929867324666170724101448

Wang S, Yang X, Xu M, Lin X, Lin T, Qi J, Shao G, Tian N, Yang Q, Zhang Z, Huang S (2015). A rare SNP identified a TCP transcription factor essential for tendril development in cucumber. Molecular Plant 8(12):1795-808. https://doi.org/10.1016/j.molp.2015.10.005

Wilke T, Boettger B, Berg B, Groth A, Mueller S, Botteman M, Yu S, Fuchs A, Maywald U (2015). Epidemiology of urinary tract infections in type 2 diabetes mellitus patients: An analysis based on a large sample of 456,586 German T2DM patients. Journal of Diabetics and Complications 29(8):1015-23. https://doi.org/10.1016/j.jdiacomp.2015.08.021

Zhou Y, Ma Y, Zeng J, Duan L, Xue X, Wang H, Lin T, Liu Z, Zeng K, Zhong Y, Zhang S (2016). Convergence and divergence of bitterness biosynthesis and regulation in Cucurbitaceae. Nature Plant 2(12):1-8. https://doi.org/10.1038/nplants.2016.183

Downloads

Published

2024-09-27

How to Cite

SUNDARI, T., KAVITHA, R., & AARTHI, M. (2024). In silico analysis of Cucumis pubescens Willd. fruit extract phytocompounds and its activity against anti-diabetic targets. Notulae Scientia Biologicae, 16(3), 12049. https://doi.org/10.55779/nsb16312049

Issue

Section

Research articles
CITATION
DOI: 10.55779/nsb16312049