Molecular Docking and ADMET Properties of Six Selected Cytotoxic Compounds From <i>Citrus Aurantium</i> And <i>Commiphora africana</i> Against Human Protein Tyrosine Kinase (PTK6) And Human Androgen Receptor (HAR)
DOI:
https://doi.org/10.26538/tjpps/v3i5.5Keywords:
Pharmacokinetic properties, Molecular docking, Cytotoxic compounds, Computational approach, CanceAbstract
Cancer is a life-threatening disease affecting both the young and the aged populations globally. A computational approach is a fast and robust method used in the virtual screening of compounds against target protein diseases such as cancer. This technique gives insight into selecting a candidate drug for design and development. The present study investigated six selected previously reported cytotoxic compounds using in silico studies for their potential use as anticancer inhibitors. Four acridone alkaloids (5-hydroxynoracronycine, citracridone-I, citracridone-III, and citrusinine-I) from Citrus aurantium and two resveratrol compounds (3-hydroxy-5-methoxybenzoic acid and pinostilbene) from Commiphora africana were selected as ligands. Target proteins: human protein tyrosine kinase (PTK6) and human androgen receptor (HAR) were retrieved from the RCSB Protein Data Bank (PDB) web server with ID 1E3G and 6CZ4, respectively. Ligand-protein interactions were modeled using molecular docking. The pharmacokinetic properties of compounds were established via SwissADME and ADMET web servers. Pinostilbene and 5-hydroxynoracronycine revealed the highest binding affinity scores of -8.8 and -9.6 kcal/mol against target proteins-1E3G and 6CZ4, respectively. The docking scores of reference drugs- cyclophosphamide and 5-fluorouracil were -5.4 and -5.2 Kcal/mol, respectively, for 1E3G, while 6CZ4 showed -5.7 and -5.1 Kcal/mol scores, respectively. All the studied compounds, including the reference drugs, revealed high gastrointestinal absorption with water solubility ranging from moderately soluble to very soluble and complied with Lipinski’s Rule of 5 without any violation. The present investigation suggests pinostilbene and 5-hydroxynoracronycine as potential inhibitors against cancer proliferation.
References
Soerjamataram I, Bray F. Planning for tomorrow: global cancer incidence and the role of prevention 2020-2070. Nat. Rev. Clin. Oncol. 2021; 18:663-672. doi.org/10.1038/s41571-021-00514-z
Siegel RL, Miller KD, Jemal A. Cancer statistics, CA Cancer. J Clin. 2018; 68:7–30. doi.org/10.3322/caac.21442
Globocan. International Agency for Research in Cancer. The Global Cancer Observatory. 2021; pp:1-2.
Newman DJ, Cragg GM. Natural products as sources of new drugs over the 30 years. J. Nat. Prod. 2012; 75:311–335.
Srivastava V, Yadav A, Sarkar P. Molecular Docking and ADMET Study of Bioactive Compounds of Glycyrrhiza glabra Against Main Protease of SARS-CoV2. Mater.Today Commun. 2020; 49: 2999-3007. doi.org/10.1016/j.matpr.2020.10.055
Salentin S, Schreiber S, Haupt VJ, Adasme M, FSchroeder M. PLIP: fully automated protein–ligand interaction profiler. Nucleic Acids Res. 2015; 43:443–447. doi.org/10.1093/nar/gkv315
Idris MM, Usman SJ. Antimicrobial activity of leaf extracts of Commiphora africana. BAJOPAS. 2018; 11(1):191-194. doi.org/10.4314/bajopas.v11i1.31S
Kweyamba PA, Zofou D, Efange N, Assob JN, Kitau J, Nyindo M. In vitro and in vivo studies on anti-malarial activity of Commiphora africana and Dichrostachys cinerea used by the Maasai in Arusha region, Tanzania. Malar. J. 2019; 18:119. doi.org/10.1186/s12936-019-2752-8.
Maksoud S, Abdel-Massih RM, Rajha HN, Louka N, Chemat F, Barba FJ, Debs E. Citrus aurantium L. Active Constituents, Biological Effects and Extraction Methods. An Updated Review. Mol. 2021; 26:5832. doi.org/10.3390/molecules26195832.
Suntar I, Khan H, Patel S, Celano R, Rastrelli L. An Overview on Citrus aurantium L.: Its Functions as Food Ingredient and Therapeutic Agent. Oxid. Med. Cell. Longer. 2018; 1:1-12. doi.org/10.1155/2018/7864269.
Segun PA, Ismail FMD, Ogbole OO, Nahar L, Evans A, Ajaiyeoba, EO, Sarker SD. Acridone alkaloids from the stem bark of Citrus aurantium display selective cytotoxicity against breast, liver, lung and prostate human carcinoma cells. J. Ethnopharmacol. 2018; 227:131-138. doi.org/10.1016/j.jep.2018.08.039.
Segun PA, Ogbole OO, Ismail FMD, Nahar L, Evans AR, Ajaiyeoba EO, Sarker SD. Resveratrol derivatives from Commiphora africana (A. Rich.) Endl. display cytotoxicity and selectivity against several human cancer cell lines. Phytother. Res. 2019; 33(1):159-166. DOI: 10.1002/ptr.6209.
Du Z, Lovly CM. Mechanism of receptor tyrosine kinase activation in cancer. Mol. cancer 2018; 17: 58
Jack KS, Asaruddin MRB, Bhawani SA. Pharmacophore study, molecular docking and molecular dynamic simulation of virgin coconut oil derivatives as anti-inflammatory agent against CoX-2. Chem. Biol. Technol. Agric. 2022; 9:73. doi.org/10.1186/s40538-022-00340-0
Yu R, Chen L, Lan R, Shen R, Li P. Computational screening of antagonist against the SARS-CoV-2 (COVID-19) corona virus by molecular docking. Int. J. Antimicrob. Agents. 2020; 56 (2):106012. doi.org/10.1016/j.ijantimicag.2020.106012.
Morris GM, Huey R, Lindstrom W, Scanner MF, Below RK, Goodsell DS, Olson AI. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. J. Comput. Chem. 2009; 30(16):2785-2791. doi:10.1002/jcc.21256.
Trott O, Olson AJ. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 2010; 31(2):455-461. doi:10.1002/jcc.21334.
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. https://doi.org/10.1038/srep42717.
Sepay N, Al Hoque A, Mondal R, Halder U, Muddassir M. In silico fight against novel coronavirus by finding chromone derivatives as inhibitor of coronavirus main proteases enzyme. Struct Chem. 2020; 31:1831–1840. https://doi.org/10.1007/s11224-020-01537-5.
Oso BJ, Olaoye IF, Omeike SO molecular docking and ADMET prediction of natural compounds towards SARS spike glycoprotein-human angiotensin-converting enzyme 2 and SARS-CoV-2 Main protease. Arch. Razi. Inst. 2021. 76(3):453-459.
Aja PM, Agu PC, Ezeh EM, Awoke JN, Ogwoni HA, Deusdedit T, Ekpono EU, Igwenyi IO, Alum EU, Ugwuja EI, Ibiam AU. Prospect into therapeutic potentials of Moringa oleifera phytocompounds against cancer upsurge: de novo synthesis of test compounds, molecular docking, and ADMET studies. BNRC. 2021; 26:45(1): 99.
Vora J, Patel S, Sinha S, Sharma S, Srivastava A, Chhabria M, Shrivastava N. Molecular docking, QSAR and ADMET based mining of natural compounds against prime targets of HIV. J. Biomol. Struct. Dyn. 2019; 37(1):131-146.
Hsu JL, Hung MC. The role of HER2, EGFR, and other receptor tyrosine kinases in breast cancer. Cancer Metastasis Rev. 2016; 35:575-88.
Saini N, Grewal AS, Lather V, Gahlawa SK. Natural alkaloids targeting EFGR in non-small cell lung cancer: Molecular docking and ADMET predictions. Chem. Biol. Interact. 2022; 358:109901. doi.org/10.1016/j.cbi.2022.109901.
Lokhande KB, Nagar S, Swamy KV. Molecular interaction studies of Deguelin and its derivatives with Cyclin D1 and Cyclin E in cancer cell signaling pathway: The computational approach. Sci. Rep. 2019; 9(1):1778. doi.org/10.1038/s41598-018-38332-6.
Hegazy GH, Ali HI. Design, synthesis, biological evaluation, and comparative Cox1 and Cox2 docking of p-substituted benzylidenamino phenyl esters of ibuprofenic and mefenamic acids. Bioorganic Med Chem. 2012; 20(3):1259–70. doi.org/10.1016/j.bmc.2011.12.030.
Swetha RG, Ramaiah S, Anbarasu A. Molecular dynamics studies on D835N mutation in FLT3-Its impact on FLT3 protein structure. J. Cell Biochem. 2016; 117:1439–1445. doi.org/10.1002/jcb.25434.
Wu C, Liu Y, Yang Y, Zhang P, Zhong W, Wang Y, Wang Q, Xu Y, Li M, Li X, Zheng M, Chen L, Li H. Analysis of therapeutic targets for SARS-CoV-2 and discovery of potential drugs by computational methods. Acta. Pharm. Sin. B. 2020; 10(5):766–88. doi.org/10.1016/j.apsb.2020.02.008.
Elfky AA. Natural products may interfere with SARS-CoV-2 attachment to the host cell. J Biomol .Struct. Dyn. 2021; 39(9):3194–203.
Gentile D, Patamia V, Scala A, Sciortino MT, Piperno A, Rescifina A. Putative inhibitors of SARS-CoV-2 main protease from a library of marine natural products: a virtual screening and molecular modeling study. Mar. Drugs. 2020; 18(4):225.
Paul J, Gnanam R, Jayadeepa RM, Arul L. Anticancer activity on Graviola, an exciting medicinal plant extract vs various cancer cell lines and a detailed computational study on its potent anti-cancerous leads. Curr. Top. Med. Chem. 2013; 13:1666-1673.
Ngbolua, JK, Kilembe JT, Matondo A, Ashande CM, Mukiza J, Nzanzu CM, Ruphin FP, Baholy R, Mpiana PT, Mudogo V. In silico studies on the interaction of four cytotoxic compounds with angiogenesis target protein HIF‑1α and human androgen receptor and their ADMET properties. BNRC. 2022; 46(1):101 doi.org/10.1186/s42269-022-00793-1
Ntie-Kang F, Nwodo JN, Ibezim A, Simoben CV, Karaman B, Ngwa VF, Sippl W, Adikwu MU, Mbaze LM. Molecular Modeling of Potential Anticancer Agents from African Medicinal Plants. J. Chem. Inf. Model. 2014; 54(9):2433-2450. DOI: 10.1021/ci5003697.
Raeis AB, Bajic VB. In silico toxicology computational methods for the prediction of chemical toxicity. Wiley Interdiscip. Rev. Comput. Mol. Sci. 2016; 6(2):147-172. doi.org/10.1002/wcms.1240.
Lipinski CA, Lombardo F, Dominy BW, Feeney PJ. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv. Drug Dev. Rev. 1997; 23:3-25. doi.org/10.1016/S0169-409X(96)00423-1.
Swierczewska M, Lee KC, Lee S. What is the future of PEGylated therapies? Expert Opin. Emerg. Drugs. 2015; 20:531–536. doi.org/10.1517/14728214.2015.11132.
Wang X, Shen Y, Wang S, Li S, Zhang W, Liu X, Lai L, Pei J, Li H. Pharm Mapper update A web server for potential drug target identification with a comprehensive target pharmacophore database. Nucleic Acids Res. 2017; 45:356–360. doi.org/10.1093/nar/gkx374
Lynch T, Price A. The effect of cytochrome P450 metabolism on drug response, interactions, and adverse effects. Am Fam Physician. 2007; 76:391–396.
Dixon SL, Smondyrev AM, Knoll EH, Rao SN, Shaw DE, Friesner RA. PHASE: A new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results. J. Comput. Aided Mol Des. 2006; 20:647–671. doi.org/10.1007/s10822-006-9087-6
Sahin S, Benet Z. The operational multiple dosing half-life: A key to defining drug accumulation in patients and to designing extended-release dosage forms. Pharm. Res. 2008; 25:2869–2877. doi.org/10.1007/s11095-008-9787-9
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Tropical Journal of Phytochemistry and Pharmaceutical Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.