Abstract
In December 2019 in Wuhan, China, the first case of a patient infected with a new coronavirus was reported, later called SARS-CoV-2 by the World Health Organization, and so far, there is no approved drug or vaccine against this new virus. Considering this, previous studies identified several essential SARS-CoV-2 viral proteins, among these to the papain-like protease (PL\(^{pro}\)), an enzyme with an important role in viral spread and evading the host immune response, making it an attractive drug target. For this reason, using a library of 213,038 structures of natural products and virtual screening, we identified 10 molecules with high affinity for residues of the SARS-CoV-2 PL\(^{pro}\) allosteric site, which could be tested in vitro against the virus or as lead-compounds to develop inhibitors that are more effective.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Allard, P.M., et al.: Integration of molecular networking and In-Silico MS/MS fragmentation for natural products dereplication. Anal. Chem. 88, 3317–3323 (2016)
Arnold, C.: Race for a vaccine. New Sci. 245, 44–47 (2020)
Estrada, E.: COVID-19 and SARS-CoV-2. Modeling the present, looking at the future. Phys. Rep. 869, 1–51 (2020)
Feinstein, W.P., Brylinski, M.: Calculating an optimal box size for ligand docking and virtual screening against experimental and predicted binding pockets. J. Cheminform. 7(1), 1–10 (2015). https://doi.org/10.1186/s13321-015-0067-5
Friesner, R.A., et al.: Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes. J. Med. Chem. 49, 6177–6196 (2006)
Guo, S., et al.: The anti-diabetic effect of eight Lagerstroemia speciosa leaf extracts based on the contents of ellagitannins and ellagic acid derivatives. Food Funct. 11, 1560–1571 (2020)
Harcourt, B.H., et al.: Identification of severe acute respiratory syndrome coronavirus replicase products and characterization of papain-like protease activity. J. Virol. 78, 13600–13612 (2004)
Ho, K.V., et al.: Identifying antibacterial compounds in black walnuts (Juglans nigra) using a metabolomics approach. Metabolites 8, 58 (2018)
Ishii, T., Okino, T., Mino, Y., Tamiya, H., Matsuda, F.: Plant-growth regulators from common starfish (Asterias amurensis Lütken) waste. Plant Growth Regul. 52, 131–139 (2007)
Jacobson, M.P., Friesner, R.A., Xiang, Z., Honig, B.: On the role of the crystal environment in determining protein side-chain conformations. J. Mol. Biol. 320, 597–608 (2002)
Ji, D., Huang, Z.y., Fei, C.h., Xue, W.w., Lu, T.l.: Comprehensive profiling and characterization of chemical constituents of rhizome of Anemarrhena asphodeloides Bge. J. Chromatogr. B 1060, 355–366 (2017)
Kang, Z.Y., Zhang, M.J., Wang, J.X., Liu, J.X., Duan, C.L., Yu, D.Q.: Two new furostanol saponins from the fibrous root of Ophiopogon japonicus. J. Asian Nat. Prod. Res. 15, 1230–1236 (2013)
Madhavi Sastry, G., Adzhigirey, M., Day, T., Annabhimoju, R., Sherman, W.: Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments. J. Comput. Aided. Mol. Des. 27, 221–234 (2013)
Morris, G.M., et al.: AutoDock4 and AutoDockTools4: automated docking with selective receptor flexibility. J. Comput. Chem. 30, 2785–2791 (2009)
Nonaka, G.i., Nakayama, S., Ishioka, I.N.: Tannins and related compounds. LXXXIII. Isolation And Structures of Hydrolyzable Tannins, Phillyraeoidins A-E From Quercus Phillyraeoides. Chem. Pharm. Bull. 37, 2030–2036 (1989)
O’Boyle, N.M., Banck, M., James, C.A., Morley, C., Vandermeersch, T., Hutchison, G.R.: Open babel: an open chemical toolbox. J. Cheminform. 3, 33 (2011)
Shelley, J.C., Cholleti, A., Frye, L.L., Greenwood, J.R., Timlin, M.R., Uchimaya, M.: Epik: a software program for pK a prediction and protonation state generation for drug-like molecules. J. Comput. Aided. Mol. Des. 21, 681–691 (2007)
Shin, D., et al.: Papain-like protease regulates SARS-CoV-2 viral spread and innate immunity. Nature (2020)
Trott, O., Olson, A.J.: AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 31, 455–461 (2009)
Tung, N.H., Shoyama, Y.: Eastern blotting analysis and isolation of two new dammarane-type saponins from american ginseng. Chem. Pharm. Bull. 60, 1329–1333 (2012)
Wang, R., Lu, Y., Wang, S.: Comparative evaluation of 11 scoring functions for molecular docking. J. Med. Chem. 46, 2287–2303 (2003)
Zhao, W., Xu, R., Qin, G., Vaisar, T., Lee, M.S.: Saponins from mussaenda pubescens. Phytochemistry 42, 1131–1134 (1996)
Wu, F., et al.: A new coronavirus associated with human respiratory disease in China. Nature 579, 265–269 (2020)
Yang, W.L., Tian, J., Peng, S.L., Guan, J.F., Ding, L.S.: Chemical constituents of Diuranthera inarticulata. Yao Xue Xue Bao 36, 590–4 (2001)
Yu, J., Zhou, Y., Tanaka, I., Yao, M.: Roll: a new algorithm for the detection of protein pockets and cavities with a rolling probe sphere. Bioinformatics 26, 46–52 (2009)
Zhou, L., Cheng, Z., Chen, D.: Simultaneous determination of six steroidal saponins and one ecdysone in Asparagus filicinus using high performance liquid chromatography coupled with evaporative light scattering detection. Acta Pharm. Sin. B 2, 267–273 (2012)
Acknowledgments
The team gives special thanks to Siembra Empresa Pública (Imbabura, Ecuador) for their support with Quinde 1 supercomputer. Also thanks to Dr. Meng Guo and Dr. Li Wang (National Supercomputing Center in Jinan, China), for their support with the implementation of Vina and helpful discussions, and to Dr. Ana Valderrama (Universidad Nacional de Ingeniería, Perú) for her personal financial contribution to the project. Finally, remembering that #SinCienciaNoHayFuturo.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Alvarado-Huayhuaz, J., Jimenez, F., Cordova-Serrano, G., Camps, I., Puma-Zamora, W. (2020). Natural Products as Potential Inhibitors for SARS-CoV-2 Papain-Like Protease: An in Silico Study. In: Setubal, J.C., Silva, W.M. (eds) Advances in Bioinformatics and Computational Biology. BSB 2020. Lecture Notes in Computer Science(), vol 12558. Springer, Cham. https://doi.org/10.1007/978-3-030-65775-8_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-65775-8_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-65774-1
Online ISBN: 978-3-030-65775-8
eBook Packages: Computer ScienceComputer Science (R0)