qNMR quantification and in silico analysis of isobrucein B and neosergeolide from Picrolemma sprucei as potential inhibitors of SARS-CoV-2 protease (3CLpro) and RNA-dependent RNA polymerase (RdRp) and pharmacokinetic and toxicological properties
DOI:
https://doi.org/10.33448/rsd-v10i16.23220Keywords:
Quassinoids; Caferana; Molecular Docking; qNMR; SARS-CoV-2.Abstract
Objective: To quantify the quassinoids of P. sprucei, a medicinal plant that is native to the Amazon region, using qNMR and investigate the inhibitory potential of isobrucein B and neosergeolide on the 3CLpro and RdRp targets of SARS-CoV-2 through in silico approaches. Methods: the quantification was performed in a fraction (F2-F3) enriched with the quassinoids isobrucein B and neosergeolide using the PULCON method. In silico assays were performed using molecular docking to assess interactions and binding affinity between neosergeolide and isobrucein B ligands with SARS-CoV-2 3CLpro and RdRp targets, and online servers were used to estimate pharmacokinetic and toxicity. Results: It was possible to determine the quantity of the two quassinoids isobrucein B and neosergeolide in the F2-F3 fraction (769.6 mg), which were present in significant amounts in the PsMeOH extract (5.46%). The results of the docking analysis, based on the crystallized structures of RdRp and 3CLpro, indicated that isobrucein B and neosergeolide are potential inhibitors of the two proteins evaluated, as well as showing the importance of hydrogen bonding and pi (π) interactions for the active sites foreseen for each target. Conclusion: The results suggest that P. sprucei quassinoids may interact with 3CLpro and RdRp targets. In vitro and in vivo experiments are needed to confirm the results of molecular docking and investigate the risks of using P. sprucei as a medicinal plant against COVID-19.
References
Amorim, R. C. N. (2009). Contribuições para o conhecimento da composição química e atividade biológica de infusões, extratos e quassinóides obtidos de Picrolemma sprucei Hook.f. (Simaroubaceae). Tese de Doutorado em Biotecnologia - Universidade Federal do Amazonas, Manaus, AM, Brasil.
Anand, K., Ziebuhr, J., Wadhwani, P., Mesters, J. R. & Hilgenfeld, R. (2003). Coronavirus Main Proteinase (3CLpro) Structure: Basis for Design of Anti-SARS Drugs. Science, 300, 1763–1767.
Andrade-Neto, V. F., Pohlit, A. M., Pinto, A. C. S., Silva, E. C. C., Nogueira, K. L., Melo, M. R. S., Henrique, M. C., Amorim, R. C. N., Silva L. F. R. & Costa, M. R. F. (2007). In vitro inhibition of Plasmodium falciparum by substances isolated from Amazonian antimalarial plants. Memórias do Instituto Oswaldo Cruz, 102(3), 359–366.
Beyer, T., Schollmayer, C., Holzgrabe, U. (2010). The role of solvents in the signal separation for quantitative 1H NMR spectroscopy. Journal of pharmaceutical and biomedical analysis, 52, 51–58.
Braga, R. C., Alves, V. M., Muratov, E. N., Strickland, J., Kleinstreuer, N., Tropsha, A. & Andrade, C. H. J. (2017). Pred-Skin: A Fast and Reliable Web Application to Assess Skin Sensitization Effect of Chemicals. Journal of Chemical Information and Modeling, 57 (5), 1013–1017.
Braga, R. C., Alves, V. M., Silva, M. F. B., Muratov, E., Fourches, D., Liao, L. M., Tropsha, A. & Andrade, C. H. (2015). Pred-hERG: A novel web-accessible computational tool for predicting cardiac toxicity. Molecular Informatics, 34, 698-701.
Burton, I. W., Quilliam, M. A. & Walter, J. A. (2005). Quantitative 1H NMR with external standards: use in preparation of calibration solutions for algal toxins and other natural products. Analytical Chemistry, 77, 3123– 3131.
Cheng, F., Li, W., Zhou, Y., Shen, J., Wu, Z, Liu, G., Lee, P.W. & Tang, Y. (2012). AdmetSAR: a comprehensive source and free tool for assessment of chemical ADMET properties. Journal of Chemical Information and Modeling, 52, 3099–3105.
Daina, A., Michielin, O. & Zoete, V. (2017). SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules. Scientific Reports, 7, 42717.
Das, S., Sarmah, S., Lyndem, S. & Roy, A. S. (2020). An investigation into the identification of potential inhibitors of SARS-CoV-2 main protease using molecular docking study. Journal of Biomolecular Structure and Dynamics, 1-11.
Da Silva, F. M. A., da Silva, K. P. A., de Oliveira, L. P. M., Costa, E. V., Koolen, H. H. F., Pinheiro, M. L. B., de Souza, A. Q. L. & de Souza, A. D. L. (2020). Flavonoid glycosides and their putative human metabolites as potential inhibitors of the SARS-CoV-2 main protease (Mpro) and RNA-dependent RNA polymerase (RdRp). Mem. Inst. Oswaldo Cruz, 115, 1–8.
Dong. E., Du, H. & Gardner, L. (2020). An interactive web-based dashboard to track COVID-19 in real time, Lancet Infectious Diseases, 20(5), 533-534.
Ferreira, M. C. (2000). O mercado de plantas medicinais em Manaus. In: A floresta em jogo. O extrativismo na Amazônia Central. Editor: L’ Orstom. Editora científica Laure Emperaire, tradução brasileira Editora da UNESP, 177-181.
Fukamiya, N., Lee, K. H., Muhammad, I., Murakami, C., Okano, M., Harvey, I., Pelletier, J. (2005). Structure-activity relationships of quassinoids for eukaryotic protein synthesis. Cancer Letter, 220, 37-48.
Gao, Y., Yan, L., Huang, Y., Liu, F., Zhao, Y., Cao, L., Wang, T., Sun, Q., Ming, Z., Zhang, L., Ge, J., Zheng, L., Zhang, Y., Wang, H., Zhu, Y., Zhu, C., Hu, T., Hua, T., Zhang, B., Yang, X., Li, J., Yang, H., Liu, Z., Xu, W., Guddat, L. W., Wang, Q., Lou, Z. & Rao, Z. (2020). Structure of the RNA-dependent RNA polymerase from COVID-19 virus. Science, 368(6492), 779-782.
Ghahremanpour, M. M., Tirado-Rives, J., Deshmukh, M., Ippolito, J. A., Zhang, C.H., Vaca, I.C., Liosi, M. E., Anderson, K. S. & Jorgensen, W. L. (2020). Identification of 14 known drugs as inhibitors of the main protease of SARS-CoV-2. ACS Medicinal Chemistry Letters, 11(12), 2526-2533.
Guan, L., Yang, H., Cai, Y., Sun. L., Di, P., Li, W., Liu, G. & Tang, Y. (2018). ADMET- score - a comprehensive scoring function for evaluation of chemical drug-likeness. Medchemcomm, 10(1), 148-157.
Guedes, I. A., Costa, L. S. C., Santos, K. B., Karl, A. L. M., Rocha, G. K., Teixeira, I. M., Galheigo, M. M., Medeiros, V., Krempser, E., Custódio, F. L., Barbosa, H. J. C., Nicolás, M. F. & Dardeme L. E. (2021). Drug design and repurposing with DockThor-VS web server focusing on SARS-CoV-2 therapeutic targets and their non-synonym variants. Scientific Reports,11, 5543.
Guo, Z., Vangapandu, S., Sindelar, R.W., Walker, L.A. & Sindelar, R. D. (2005). Biologically active quassinoids and their chemistry: Potentianl leads for drug design. Current Medicinal Chemistry, 12, 173-190.
Hahn, M. Receptor Surface Models. 1. Definition and Construction. (1995). Journal of Medicinal Chemistry, 38, 12, 2080–2090.
Hasan, A., Mahamud R. A., Bondhon, T. A., Jannat, K., Jahan, R., Rahmatullah M. (2020). Can javanicins be potential inhibitors of SARS-CoV-2 C-3 like protease? An evaluation through molecular docking studies. Journal of Natural & Ayurvedic Medicine, 4(2), 000250.
Hasan, A., Mahamud, R. A., Bondhon, T. A., Jannat, K., Farzana, B., Jahan & Rahmatullah, M. (2020). Molecular docking of quassinoid compounds javanicolides A-F and H with C3-like protease (or 3CL pro) of SARS and SARS-C0V-2 (COVID-19) and VP8* domain of the outer capsid protein VP4 of rotavirus A. Journal of Medicinal Plants Studies. 2020; 8(4 Part A):14-19.
Kleinstreuer, N. C., Hoffmann, S., Alépée, N., Allen, D., Ashikaga, T., Casey, W., Clouet, E., Cluzel, M., Desprez, B., Gellatly, N., Göbel, C., Kern, P. S., Klaric, M., Kühnl, J., Martinozzi-Teissier, S., Mewes, K., Miyazawa, M., Strickland, J., van Vliet, E., Zang, Q. & Petersohn D. Non-animal methods to predict skin sensitization (II): an assessment of defined approaches*. Critical Reviews in Toxicology, 48(5), 359-374.
Le Cointe, P. (1947). Árvores e plantas úteis (Amazônia brasileira III). Companhia Editora Nacional, 92.
Lipinski, C. A., Lombardo, F., Dominy, B. W. & Feeney, P.J. (1997). Experimental and Computational Approaches to Estimate Solubility and Permeability in Drug Discovery and Development Settings. Advanced Drug Delivery Reviews, 23, 3-25.
Moretti, C., Polonsky, J., Vuilhorgne, M. & Prange, T. Isolation and structure of sergeolide a potent cytotoxic quassinoid from Piclolemma pseudocoffea. Tetrahedron Letters, 23(6), 647-650, 1982.
Morse, J. S., Lalonde, T., Xu, S. & Liu, W. R. (2020) Learning from the past: possible urgent prevention and treatment options for severe acute respiratory infections caused by 2019‐nCoV. ChemBioChem, 21(5), 730-738.
Mortelmans, K. & Zeiger E. The Ames Salmonella/microsome mutagenicity assay. (2000). Mutation Research, 20;455(1-2):29-60.
Neves, K. O. G., Ramos, A. S., Bruginski, E. R. D., De Souza, A. D. L., Nunomura, R. C. S., Campos, F. R., Da Silva, F. M. A. & Machado, M. B. (2021). Lisboaeflavanonol A: A new flavonoid glycoside obtained from Amazonian Eugenia lisboae. Phytochemistry Letters, 43, 65-69.
Nunomura, R. C. S., Silva, E. C. C., Oliveira, D. F., Garcia, A. M., Boeloni, J. N., Nunomura S. M. & Pohlit, A. M. (2006). In vitro studies of the anthelmintic activity of Picrolemma sprucei Hook. f. (Simaroubaceae). Acta Amazonica, 36, 327-330.
Nunomura, R. C. S., Silva, E. C. C., Nunomura, S. M., Amaral, A. C. F., Barreto, A. S., Siani A. C., Pohlit, A. M. (2012). Quantification of antimalarial quassinoids neosergeolide and isobrucein b in stem and root infusions of Picrolemma sprucei Hook F. by HPLC-UV analysis. Chromatography and Its Applications, 187-200.
Oliveira, E. S. C., Pontes, F. L. D., Acho, L. D. R., do Rosário, A. S., da Silva, B. J. P., de A Bezerra, J., Campos, F. R., Lima, E. S. & Machado, M. B. (2021). qNMR quantification of phenolic compounds in dry extract of Myrcia multiflora leaves and its antioxidant, anti-AGE, and enzymatic inhibition activities. Journal of Pharmaceutical and Biomedical Analysis, 15, 201:114109.
Peele, K. A., Potla, D. C., Srihansa, T., Krupanidhi, S., Ayyagari, V. S., Babu, D. J., Indira, M., Reddy, A. R., & Venkateswarulu T. C. (2020). Molecular docking and dynamic simulations for antiviral compounds against SARS-CoV-2: a computational study. Informatics in Medicine Unlocked, 19, 100345.
Pires, D. E., Blundell, T. L. & Ascher, D. B., (2015). pkCSM: predicting small-molecule pharmacokinetic and toxicity properties using graph-based signatures. Journal of Medicinal Chemistry, 58, 4066–4072.
Pohlit, A. M., Jabor, V. A. P., Amorim, R. C. N., Silva, E. C. C. & Lopes, N. P. (2009). LC-ESI-MS Determination of quassinoids isobrucein B and neosergeolide in Picrolemma sprucei stem infusions. Journal of the Brazilian Chemical Societyv. 20(6), 1065-1070.
Pokhrel, R., Chapagain, P. & Siltberg-Liberles, J. (2020). Potential RNA-dependent RNA polymerase inhibitors as prospective therapeutics against SARS-CoV-2. Journal of Medical Microbiology, 69(6), 864-873.
Priest, B. T., Bell, I. M. & Garcia, M. L. (2008). Role of herg potassium channel assays in drug development. Channels (AUSTIN), 2(2), 87-93.
Qamar, M. T., Alqahtani, S. M., Alamri, M. A. & Chen, L. L. (2020). Structural basis of SARS-CoV-2 3CLpro and anti-COVID-19 drug discovery from medicinal plants. Journal of Pharmaceutical Analysis, 10(4), 313-319.
Ribeiro, J. E. L.; Hopkins, M. J. G.; Vicentini, A. ; Sothers, C. A. ; Costa, M. A. S. ; Brito, J. M. ; Souza, M. A. D. ; Martins, L. H. P. ; Lohmann, L. G. ; Assunção, P. A. C. L. ; Pereira, E. C. ; Silva, C. F. ; Mesquita, M. R. ; Procópio, L. C. (1999). Flora da Reserva Ducke – Guia de identificação das plantas vasculares de uma floresta de terra-firme na Amazônia Central. Manaus-AM, INPA, p. 547-549.
Rim, K. T. (2020). In silico prediction of toxicity and its applications for chemicals at work [published online ahead of print, 2020 May 14]. Toxicol Environ Health Sci, 1-12.
Saraiva, R. C. G. (2001). Estudo Fitoquímico de Picrolemma sprucei Hook (Simaroubaceae) e Dosagem dos Princípios Antimaláricos nos Chás do Caule e Raiz. Dissertação de Mestrado em Química, Universidade Federal do Amazonas, Manaus, AM, Brasil.
Saraiva, R. C. G., Barreto, A.S., Siani, A.C., Ferreira, J.L.P., Araujo, R.B., Nunomura, S.M. & Pohlit, A.M. (2002). Anatomia foliar e caulinar de Picrolemma sprucei Hook (Simaroubaceae). Acta Amazonica. 33(2) 213-220.
Shou, W. Z. (2020). Current status and future directions of high-throughput ADME screening in drug discovery. Journal of Pharmaceutical Analysis, 10(3), 201-208.
Silva, E. C. C. (2006). Isolamento, transformação química e atividade biológica in vitro dos quassinóides neosergeolida e isobruceína B. Dissertação de mestrado. Universidade Federal do Amazonas, Manaus, Amazonas. 2006.
Thomas, W. W. (1990) The American genera of Simaroubaceae and their distribution. Acta Botanica Brasilica, 4 (1), 11-18.
Tyburn, J. M. & Coutant, J. (2016). TopSpin ERETIC 2 - Electronic to Access In vivo Concentration User Manual, 1–34.
Vieira, I. J. C., Rodrigues, E., Fernandes, J. B. & Silva, M. F. G. F. (2000). Complete 1H and 13C chemical chift assignments of a new C22-quassinoid isolated from Picrolemma sprucei Hook by NMR spectroscopy. Magnetic Resonance in Chemistry, 38, 805-808.
World Health Organization. (2021). Coronavirus disease (COVID-19) situation reports. Retrieved form https://www.who.int/emergencies/diseases/novel-coronavirus-2019. Accessed 19 June 2021.
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. (2020) Analysis of therapeutic targets for SARS-CoV-2 and discovery of potential drugs by computational methods. Acta Pharmaceutica Sinica B, 10(5), 766-88.
Wu, Y. & Wang, G., Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis. (2018). International Journal of Molecular Sciences,19(8), 2358.
Yu, R., Chen, L., Lan, R., Shen, R. & Li, P. (2020). Computational screening of antagonist against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking. International Journal of Antimicrobial Agents, 2020; 56(2), 106012.
Zaheer-Ul-Haq, Halim, S. A., Uddin, R., & Madura, J. D. (2010). Benchmarking docking and scoring protocol for the identification of potential acetylcholinesterase inhibitors. Journal of Molecular Graphics & Modelling, 28(8), p. 870-882.
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., Niu, P., Zhan, F., Ma, X., Wang, D., Xu, W., Wu, G., Gao, G. F., Tan, W., & China Novel Coronavirus Investigating and Research Team (2020). A Novel Coronavirus from Patients with Pneumonia in China, 2019. The New England journal of medicine, 382(8), 727–733.
Zukerman-Schpector, J., Castellano, E. E., Fho, E.R. & Vieira, I. J. C. (1994). A new quassinoid isolated from Picrolemma pseudocoffea. Acta Crystallographica C, 50, 794-797.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Marcos Túlio da Silva; Matheus Gabriel de Oliveira; José Realino de Paula; Vinicius Barreto da Silva; Kidney de Oliveira Gomes Neves; Marcos Batista Machado; Rita de Cássia Saraiva Nunomura
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.