A computational assessment of alkaloids targeting the plant homeodomain in pygopus2: inhibitory potential and drug-like properties

Zechariah Oresanya, Olaide Odesanya, Ibrahim Olaniyi, Christian Agbojo, God's Will Eleanya, Rahmon Kanmodi

Abstract


Pygopus2 (Pygo2) is a component of the Wnt signaling pathway, crucial for β-catenin-mediated transcription during normal development. Overexpression of Pygo2 has been linked to various human cancers, including lung, colon, and brain cancers. The plant homeodomain (PHD) finger in Pygo2 intercalates with the methylated histone 3 (H3K4me) tail and the HD1 domain of BCL9, which binds to β-catenin. This interaction highlights the PHD finger as a promising target for designing anti-cancer drugs. Despite the importance of this protein in numerous cancers, no approved drug currently targets it. In this study, we used in silico techniques to identify alkaloids with favourable PHD binding affinities compared to standard compounds. Three alkaloids—discorhabdin W (9.7 Kcal/mol), topsentin A (9.1 Kcal/mol), and dragmacidin A (9.0 Kcal/mol)—emerged as the best candidates, exhibiting stronger binding effects compared to JBC117 (9.2 Kcal/mol), a compound that has been shown to inhibit cancer cell proliferation both ex vivo and in vivo. They also exhibited compliance with Lipinski’s rule, promising drug-like properties, and relatively low toxicity. Molecular dynamics simulations of the three high-affinity protein-ligand complexes revealed considerable conformational flexibility, hinge regions, and low eigenvalues, indicating stable and flexible molecular motions. Based on the findings from this study, these three alkaloids have the potential to be developed as anticancer lead compounds targeting the PHD finger of Pygo2.

Received: 10 July 2024

Accepted: 20 August 2024

Published: 18 September 2024


Keywords


Discorhabdin W; Binding affinities; Molecular dynamics; Lipinski; Hinge regions;

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References


Clevers H, Nusse R. Wnt/β-catenin signaling and disease. Vol. 149, Cell. 2012.

Polakis P. Wnt signaling in cancer. Cold Spring Harb Perspect Biol. 2012;4(5).

Miller TCR, Rutherford TJ, Johnson CM, Fiedler M, Bienz M. Allosteric Remodelling of the Histone H3 Binding Pocket in the Pygo2 PHD Finger Triggered by Its Binding to the B9L/BCL9 Co-Factor. J Mol Biol. 2010;401(5).

Ali F, Yamaguchi K, Fukuoka M, Elhelaly AE, Kuwata K. Logical design of an anti-cancer agent targeting the plant homeodomain in Pygopus2. Cancer Sci. 2016;107(9).

Zhu Y, Zhao Y, Wen J, Liu S, Huang T, Hatial I, et al. Targeting the chromatin effector Pygo2 promotes cytotoxic T cell responses and overcomes immunotherapy resistance in prostate cancer. Sci Immunol. 2023;8(81).

Kramps T, Peter O, Brunner E, Nellen D, Froesch B, Chatterjee S, et al. Wnt/Wingless signaling requires BCL9/legless-mediated recruitment of pygopus to the nuclear β-catenin-TCF complex. Cell. 2002;109(1).

Gu B, Sun P, Yuan Y, Moraes RC, Li A, Teng A, et al. Pygo2 expands mammary progenitor cells by facilitating histone H3 K4 methylation. Journal of Cell Biology. 2009;185(5).

Olawale F, Iwaloye O, Olofinsan K, Ogunyemi OM, Gyebi GA, Ibrahim IM. Homology modelling, vHTS, pharmacophore, molecular docking and molecular dynamics studies for the identification of natural compound-derived inhibitor of MRP3 in acute leukaemia treatment. Chemical Papers. 2022;76(6).

Olofinsan K, Abrahamse H, George BP. Therapeutic Role of Alkaloids and Alkaloid Derivatives in Cancer Management. Vol. 28, Molecules. 2023.

Wang X, Tanaka M, Krstin S, Peixoto HS, Wink M. The interference of selected cytotoxic alkaloids with the cytoskeleton: An insight into their modes of action. Molecules. 2016;21(7).

Jash C, Kumar GS. Binding of alkaloids berberine, palmatine and coralyne to lysozyme: A combined structural and thermodynamic study. RSC Adv. 2014;4(24).

Bhuiya S, Pradhan AB, Haque L, Das S. Molecular Aspects of the Interaction of Iminium and Alkanolamine Forms of the Anticancer Alkaloid Chelerythrine with Plasma Protein Bovine Serum Albumin. Journal of Physical Chemistry B. 2016;120(1).

Khan AY, Suresh Kumar G. Natural isoquinoline alkaloids: binding aspects to functional proteins, serum albumins, hemoglobin, and lysozyme. Vol. 7, Biophysical Reviews. 2015.

Katyal P, Sharma S. Emerging Alkaloids Against Cancer: A Peep into Factors, Regulation, and Molecular Mechanisms. In: Bioactive Natural Products for the Management of Cancer: from Bench to Bedside. 2019.

Vishesh Verma, Shivam Sharma, Kritika Gaur, Nitin Kumar. Role of vinca alkaloids and their derivatives in cancer therapy. World Journal of Advanced Research and Reviews. 2022;16(3).

Sousa-Pimenta M, Estevinho LM, Szopa A, Basit M, Khan K, Armaghan M, et al. Chemotherapeutic properties and side-effects associated with the clinical practice of terpene alkaloids: paclitaxel, docetaxel, and cabazitaxel. Vol. 14, Frontiers in Pharmacology. 2023.

Rahman N, Muhammad I, Nayab GE, Khan H, Aschner M, Filosa R, et al. Molecular Docking of Isolated Alkaloids for Possible α-Glucosidase Inhibition. Biomolecules. 2019;9(10).

Shahik SM, Salauddin A, Hossain MS, Noyon SH, Moin AT, Mizan S, et al. Screening of novel alkaloid inhibitors for vascular endothelial growth factor in cancer cells: An integrated computational approach. Genomics Inform. 2021;19(1).

Mondal A, Gandhi A, Fimognari C, Atanasov AG, Bishayee A. Alkaloids for cancer prevention and therapy: Current progress and future perspectives. Vol. 858, European Journal of Pharmacology. 2019.

Rose W. Peter, Prlić Andreas, Altunkaya Ali, Bi Chunxiao, Bradley R. Anthony, Christie Coleh H. The RCSB protein data bank: integrative view of protein, gene and 3D structural information. 2016;45.

Kanmodi R, Oddiri R, Arowosegbe M, Rahmon S. Exploring the pharmacokinetic properties and inhibitory potentials of plant-derived alkaloids against nuclear protein targets in triple-negative breast cancer: An In Silico approach. Sci Afr. 2023;22.

Gupta AP, Pandotra P, Kushwaha M, Khan S, Sharma R, Gupta S. Alkaloids: A source of anticancer agents from nature. In: Studies in Natural Products Chemistry. 2015.

Kim S, Thiessen PA, Bolton EE, Chen J, Fu G, Gindulyte A, et al. PubChem substance and compound databases. Nucleic Acids Res. 2016;44(D1).

Lobo S. Is there enough focus on lipophilicity in drug discovery? Vol. 15, Expert Opinion on Drug Discovery. 2020.

Azzam K AL. SwissADME and pkCSM Webservers Predictors: an integrated Online Platform for Accurate and Comprehensive Predictions for In Silico ADME/T Properties of Artemisinin and its Derivatives. Kompleksnoe Ispolʹzovanie Mineralʹnogo syrʹâ/Complex Use of Mineral Resources/Mineraldik Shikisattardy Keshendi Paidalanu [Internet]. 2023 Jun 15 [cited 2024 Sep 2];325(2):14–21. Available from: https://kims-imio.com/index.php/main/article/view/252/322

Banerjee Priyanka, Kemmler Emanuel, Dunkel Mathias, Preissner Robert. ProTox 3.0: a webserver for the prediction of toxicity of chemicals .

Sumera, Anwer F, Waseem M, Fatima A, Malik N, Ali A, et al. Molecular Docking and Molecular Dynamics Studies Reveal Secretory Proteins as Novel Targets of Temozolomide in Glioblastoma Multiforme. Molecules. 2022;27(21).

Roessler HI, Knoers NVAM, van Haelst MM, van Haaften G. Drug Repurposing for Rare Diseases. Vol. 42, Trends in Pharmacological Sciences. 2021.

Deyá AD. ANTI-CANCER PROPERTIES OF BENZOPHENANTHRIDINE ALKALOIDS FROM Zanthoxylum genus - in silico EVIDENCE. Rev Latinoam Quim. 2022;49(1).

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.

Ongtanasup T, Mazumder A, Dwivedi A, Eawsakul K. Homology Modeling, Molecular Docking, Molecular Dynamic Simulation, and Drug-Likeness of the Modified Alpha-Mangostin against the β-Tubulin Protein of Acanthamoeba Keratitis. Molecules. 2022;27(19).

Chancellor MB, Staskin DR, Kay GG, Sandage BW, Oefelein MG, Tsao JW. BloodBrain barrier permeation and efflux exclusion of anticholinergics used in the treatment of overactive bladder. Vol. 29, Drugs and Aging. 2012.

Testa Bernard, Krämer Stefanie D. The Biochemistry of Drug Metabolism – An Introduction. 2008;

Di L. The role of drug metabolizing enzymes in clearance. Vol. 10, Expert Opinion on Drug Metabolism and Toxicology. 2014.

Lamb DC, Waterman MR, Kelly SL, Guengerich FP. Cytochromes P450 and drug discovery. Vol. 18, Current Opinion in Biotechnology. 2007.

Kirchmair J, Göller AH, Lang D, Kunze J, Testa B, Wilson ID, et al. Predicting drug metabolism: Experiment and/or computation? Vol. 14, Nature Reviews Drug Discovery. 2015.

Rathod S, Desai H, Patil R, Sarolia J. Non-ionic Surfactants as a P-Glycoprotein(P-gp) Efflux Inhibitor for Optimal Drug Delivery—A Concise Outlook. Vol. 23, AAPS PharmSciTech. 2022.

Lipinski CA, Lombardo F, Dominy BW, Feeney PJ. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Vol. 23, Advanced Drug Delivery Reviews. 1997.

Ya’u Ibrahim Z, Uzairu A, Shallangwa G, Abechi S. Molecular docking studies, drug-likeness and in-silico ADMET prediction of some novel β-Amino alcohol grafted 1,4,5-trisubstituted 1,2,3-triazoles derivatives as elevators of p53 protein levels. Sci Afr. 2020;10.

Miller TCR, Rutherford TJ, Birchall K, Chugh J, Fiedler M, Bienz M. Competitive binding of a benzimidazole to the histone-binding pocket of the pygo PHD finger. ACS Chem Biol. 2014;9(12).

Groenewald W, Lund AH, Gay DM. The Role of WNT Pathway Mutations in Cancer Development and an Overview of Therapeutic Options. Vol. 12, Cells. 2023.

Esposito I, Cassaro A. PYGO2 (pygopus family PHD finger 2). Vol. 24, Atlas of Genetics and Cytogenetics in Oncology and Haematology. 2020.

Umamaheswari M, Aji CS, Asokkumar K, Sivashanmugam T, Subhadradevi V, Jagannath P, et al. Docking studies: In silico aldose reductase inhibitory activity of commercially available flavonoids. Bangladesh J Pharmacol. 2012;7(2).

Li F, Kelly M, Tasdemir D. Chemistry, chemotaxonomy and biological activity of the latrunculid sponges (Order poecilosclerida, family latrunculiidae). Vol. 19, Marine Drugs. 2021.

Casapullo A, Bifulco G, Bruno I, Riccio R. New bisindole alkaloids of the topsentin and hamacanthin classes from the Mediterranean marine sponge Rhaphisia lacazei. J Nat Prod. 2000;63(4).

Madushanka A, Moura RT, Verma N, Kraka E. Quantum Mechanical Assessment of Protein–Ligand Hydrogen Bond Strength Patterns: Insights from Semiempirical Tight-Binding and Local Vibrational Mode Theory. Int J Mol Sci. 2023;24(7).

Cheng F, Yu Y, Zhou Y, Shen Z, Xiao W, Liu G, et al. Insights into molecular basis of cytochrome P450 inhibitory promiscuity of compounds. J Chem Inf Model. 2011;51(10).

Karaduman G, Kelleci Çelik F. A MULTIVARIATE INTERPOLATION APPROACH FOR PREDICTING DRUG LD50 VALUE. Ankara Universitesi Eczacilik Fakultesi Dergisi. 2024;48(1).

Francis P, Navarro VJ. Drug Induced Hepatotoxicity. StatPearls Publishing; 2022.

Pawar Vinayak, Wankhede Yogesh, Kaur Simranjit, Pawar Bhakti, Vasdev Nupur, Gupta Tanisha. Drug-induced cardiotoxicity. Advances Pharmaceutical Product Development and Research. 2024;2.

Gintant G. An evaluation of hERG current assay performance: Translating preclinical safety studies to clinical QT prolongation. Vol. 129, Pharmacology and Therapeutics. 2011.

Kumar CV, Swetha RG, Anbarasu A, Ramaiah S. Computational analysis reveals the association of threonine 118 methionine mutation in PMP22 resulting in CMT-1A. Adv Bioinformatics. 2014;2014.

Jamroz M, Kolinski A, Kmiecik S. CABS-flex predictions of protein flexibility compared with NMR ensembles. Bioinformatics. 2014;30(15).

Ghosh P, Bhakta S, Bhattacharya M, Sharma AR, Sharma G, Lee SS, et al. A Novel Multi-Epitopic Peptide Vaccine Candidate Against Helicobacter pylori: In-Silico Identification, Design, Cloning and Validation Through Molecular Dynamics. Int J Pept Res Ther. 2021;27(2).

López-Blanco JR, Aliaga JI, Quintana-Ortí ES, Chacón P. IMODS: Internal coordinates normal mode analysis server. Nucleic Acids Res. 2014;42(W1).

Yao XQ, Skjærven L, Grant BJ. Rapid Characterization of Allosteric Networks with Ensemble Normal Mode Analysis. Journal of Physical Chemistry B. 2016;120(33).

Kovacs JA, Chacón P, Abagyan R. Predictions of protein flexibility: First-order measures. Proteins: Structure, Function and Genetics. 2004;56(4).




DOI: https://dx.doi.org/10.21622/AMPDR.2024.04.2.923

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Copyright (c) 2024 Zechariah Oresanya, Olaide Odesanya, Ibrahim Olaniyi, Christian Agbojo, God's Will Eleanya, Rahmon Kanmodi

Advances in Medical, Pharmaceutical and Dental Research
E-ISSN: 2812-4898
P-ISSN: 2812-488X 

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