In Silico Screening of Bioactive Compounds of Representative Seaweeds to Inhibit SARS-CoV-2 ACE2-Bound Omicron B.1.1.529 Spike Protein Trimer
Abstract
1. Introduction
2. Materials and Methods
2.1. Chemical Compounds from Seaweeds
2.2. Target Preparation and Ligand Library
2.3. Molecular Docking
2.4. Evaluation of Ligands Drug-Likeness and Toxicity
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- World Health Organization. Available online: https://www.who.int/news/item/26-11-2021-classification-of-omicron-(b.1.1.529)-sars-cov-2-variant-of-concern 2021 (accessed on 19 January 2022).
- Abdullah, F.; Myers, J.; Basu, D.; Tintinger, G.; Ueckermann, V.; Mathebula, M.; Ramlall, R.; Spoor, S.; de Villiers, T.; van der Walt, Z.; et al. Decreased severity of disease during the first global omicron variant covid-19 outbreak in a large hospital in Tshwane, South Africa. Int. J. Infect. Dis. 2021, 116, 38–42. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Khare, S.; Gurry, C.; Freitas, L.; Schultz, M.B.; Bach, G.; Diallo, A.; Akite, N.; Ho, J.; Lee, R.T.; Yeo, W.; et al. GISAID’s role in pandemic response. China CDC Wkly 2021, 3, 1049–1051. Available online: https://www.gisaid.org/hcov19-variants (accessed on 19 January 2022). [CrossRef] [Scilit] [PubMed]
- Mallapaty, S. Omicron-variant border bans ignore the evidence, say scientists. Nature 2021, 7888, 199. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Mannar, D.; Saville, J.W.; Zhu, X.; Srivastava, S.S.; Berezuk, A.M.; Tuttle, K.S.; Marquez, A.C.; Sekirov, I.; Subramaniam, S. SARS-CoV-2 Omicron variant: Antibody evasion and cryo-EM structure of spike protein-ACE2 complex. Science 2022, eabn7760. [Google Scholar] [CrossRef] [Scilit]
- Alenquer, M.; Ferreira, F.; Lousa, D.; Valério, M.; MedinaLopes, M.; Bergman, M.-L.; Goncalves, J.; Demengeot, J.; Leite, R.B.; Lilue, J.; et al. Signatures in SARS-CoV-2 spike protein conferring escape to neutralizing antibodies. PLoS Pathog. 2021, 17, e1009772. [Google Scholar] [CrossRef] [Scilit]
- Dupont, L.; Snell, L.B.; Graham, C.; Seow, J.; Merrick, B.; Lechmere, T.; Maguire, T.J.A.; Hallett, S.R.; Pickering, S.; Charalampous, T.; et al. Neutralizing antibody activity in convalescent sera from infection in humans with SARS-CoV-2 and variants of concern. Nat. Microbiol. 2021, 6, 1433. [Google Scholar] [CrossRef] [Scilit]
- Omotuyi, O.; Olubiyi, O.; Nash, O.; Afolabi, E.; Oyinloye, B.; Fatumo, S.; Femi-Oyewo, M.; Bogoro, S. SARS-CoV-2 Omicron spike glycoprotein receptor binding domain exhibits super-binder ability with ACE2 but not convalescent monoclonal antibody. Comput. Biol. Med. 2022, 142, 105226. [Google Scholar] [CrossRef] [Scilit]
- Kazybay, B.; Ahmad, A.; Mu, C.; Mengdesh, D.; Xie, Y. Omicron N501Y mutation among SARS-CoV-2 lineages: In silico analysis of potent binding to tyrosine kinase and hypothetical repurposed medicine. Travel Med. Infect. Dis. 2021, 45, 102242. [Google Scholar] [CrossRef] [Scilit]
- Ramesh, S.; Govindarajulu, M.; Parise, R.S.; Neel, L.; Shankar, T.; Patel, S.; Lowery, P.; Smith, F.; Dhanasekaran, M.; Moore, T. Emerging SARS-CoV-2 variants: A review of its mutations, its implications and vaccine efficacy. Vaccines 2021, 9, 1195. [Google Scholar] [CrossRef] [Scilit]
- Zhang, L.; Cui, Z.; Li, Q.; Wang, B.; Yu, Y.; Wu, J.; Nie, J.; Ding, R.; Wang, H.; Zhang, Y.; et al. Ten emerging SARS-CoV-2 spike variants exhibit variable infectivity, animal tropism, and antibody neutralization. Commun. Biol. 2021, 4, 1196. [Google Scholar] [CrossRef] [Scilit]
- Buss, L.F.; Prete, C., Jr.; Abrahim, C.M.M.; Mendrone, A., Jr.; Salomon, T.; Neto, C.A.; França, R.F.O.; Belotti, M.C.; Carvalho, M.P.S.S.; Costa, A.G.; et al. Three-quarters attack rate of SARS-CoV-2 in the Brazilian Amazon during a largely unmitigated epidemic. Science 2021, 371, 288–292. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ferré, V.M.; Peiffer-Smadja, N.; Visseaux, B.; Descamps, D.; Ghosn, J.; Charpentier, C. Omicron SARS-CoV-2 variant: What we know and what we don’t. Anaesth. Crit. Care Pain Med. 2021, 41, 100998. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- He, X.; Hong, W.; Pan, X.; Lu, G.; Wei, X. SARS-CoV-2 Omicron variant: Characteristics and prevention. MedComm 2021, 2, 838–845. [Google Scholar] [CrossRef] [Scilit]
- Poudel, S.; Ishak, A.; Perez-Fernandez, J.; Garcia, E.; León-Figueroa, D.A.; Romaní, L.; Bonilla-Aldana, D.K.; Rodriguez-Morales, A.J. Highly mutated SARS-CoV-2 Omicron variant sparks significant concern among global experts—What is known so far? Travel Med. Infect. Dis. 2021, 45, 102234. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Aleem, A.; Samad, A.A.B.; Slenker, A.K. Emerging Variants of SARS-CoV-2 and Novel Therapeutics Against Coronavirus (COVID-19); StatPearls Publishing: Treasure Island, FL, USA, 2021. [Google Scholar]
- Chen, J.; Wang, R.; Gilby, N.B.; Wei, G.W. Omicron variant (B.1.1.529): Infectivity, vaccine breakthrough, and antibody resistance. J. Chem. Inf. Model 2022, 62, 412–422. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Awadasseid, A.; Wu, Y.; Tanaka, Y.; Zhang, W. Effective drugs used to combat SARS-CoV-2 infection and the current status of vaccines. Biomed. Pharmacother. 2021, 137, 111330. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Fang, F.F.; Shi, P.Y. Omicron: A drug developer’s perspective. Emerg. Microbes Infect. 2022, 11, 208–211. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rebours, C.; Marinho-Soriano, E.; Zertuche-González, J.A.; Hayashi, L.; Vásquez, J.A.; Kradolfer, P.; Soriano, G.; Ugarte, R.; Abreu, M.H.; Bay-Larsen, I.; et al. Seaweeds: An opportunity for wealth and sustainable livelihood for coastal communities. J. Appl. Phycol. 2014, 26, 1939–1951. [Google Scholar] [CrossRef] [Scilit]
- Vinuganesh, A.; Kumar, A.; Prakash, S.; Alotaibi, M.O.; Saleh, A.M.; Mohammed, A.E.; Beemster, G.T.S.; AbdElgawad, H. Influence of seawater acidification on biochemical composition and oxidative status of green algae Ulva Compressa. Sci. Total. Environ. 2022, 806, 150445. [Google Scholar] [CrossRef] [Scilit]
- Brown, E.S.; Allsopp, P.J.; Magee, P.J.; Gill, C.I.; Nitecki, S.; Strain, C.R.; McSorley, E.M. Seaweed and human health. Nutr. Rev. 2014, 72, 205–216. [Google Scholar] [CrossRef] [Scilit]
- Wells, M.L.; Potin, P.; Craigie, J.S.; Raven, J.A.; Merchant, S.S.; Helliwell, K.E.; Smith, A.G.; Camire, M.E.; Brawley, S.H. Algae as nutritional and functional food sources: Revisiting our understanding. J. Appl. Phycol. 2017, 29, 949–982. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Peñalver, R.; Lorenzo, J.M.; Ros, G.; Amarowicz, R.; Pateiro, M.; Nieto, G. Seaweeds as a functional ingredient for a healthy diet. Mar. Drugs 2020, 18, 301. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Chen, K.K.; Minakuchi, M.; Wuputra, K.; Ku, C.C.; Pan, J.B.; Kuo, K.K.; Lin, Y.C.; Saito, S.; Lin, C.S.; Yokoyama, K.K. Redox control in the pathophysiology of influenza virus infection. BMC Microbiol. 2020, 20, 214. [Google Scholar] [CrossRef] [Scilit]
- Chernyak, B.V.; Popova, E.N.; Prikhodko, A.S.; Grebenchikov, O.A.; Zinovkina, L.A.; Zinovkin, R.A. COVID-19 and oxidative stress. Biochem. 2020, 85, 1543–1553. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yang, Y.; Liu, D.; Wu, J.; Chen, Y.; Wang, S. In vitro antioxidant activities of sulfated polysaccharide fractions extracted from Corallina officinalis. Int. J. Biol. Macromol. 2011, 49, 1031–1037. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ismail, M.M.; Alotaibi, B.S.; El-Sheekh, M.M. Therapeutic uses of red macroalgae. Molecules 2020, 25, 4411. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yap, W.F.; Tay, V.; Tan, S.H.; Yow, Y.Y.; Chew, J. Decoding antioxidant and antibacterial potentials of Malaysian green seaweeds: Caulerpa racemosa and Caulerpa Lentillifera. Antibiotics 2019, 8, 152. [Google Scholar] [CrossRef] [Scilit]
- Pangestuti, R.; Haq, M.; Rahmadi, P.; Chun, B.S. Nutritional value and biofunctionalities of two edible green seaweeds (Ulva lactuca and Caulerpa racemosa) from Indonesia by subcritical water hydrolysis. Mar. Drugs 2021, 19, 578. [Google Scholar] [CrossRef] [Scilit]
- Lorente, L.; Martín, M.M.; González-Rivero, A.F.; Pérez-Cejas, A.; Argueso, M.; Perez, A.; Ramos-Gómez, L.; Solé-Violán, J.; Marcos, Y.; Ramos, J.A.; et al. Blood concentrations of proapoptotic sFas and antiapoptotic Bcl2 and COVID-19 patient mortality. Expert Rev. Mol. Diagn. 2021, 21, 837–844. [Google Scholar] [CrossRef] [Scilit]
- Monla, A.R.; Dassouki, Z.; Kouzayha, A.; Salma, Y.; Gali-Muhtasib, H.; Mawlawi, H. The cytotoxic and apoptotic effects of the brown algae Colpomenia sinuosa are mediated by the generation of reactive oxygen species. Molecules 2020, 25, 1993. [Google Scholar] [CrossRef] [Scilit]
- Rosemary, T.; Arulkumar, A.; Paramasivam, S.; Mondragon-Portocarrero, A.; Miranda, J.M. Biochemical, micronutrient and physicochemical properties of the dried red seaweeds Gracilaria edulis and Gracilaria Corticata. Molecules 2019, 24, 2225. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Asghar, A.; Tan, Y.C.; Shahid, M.; Yow, Y.Y.; Lahiri, C. Metabolite profiling of malaysian Gracilaria edulis reveals eplerenone as novel antibacterial compound for drug repurposing against MDR bacteria. Front. Microbiol. 2021, 12, 653562. [Google Scholar] [CrossRef] [Scilit]
- Ali, L.; Khan, A.L.; Al-Broumi, M.; Al-Harrasi, R.; Al-Kharusi, L.; Hussain, J.; Al-Harrasi, A. New enzyme-inhibitory triterpenoid from marine macro brown alga Padina boergesenii allender & kraft. Mar. Drugs 2017, 15, 19. [Google Scholar]
- Gora, A.H.; Sahu, N.P.; Sahoo, S.; Rehman, S.; Ahmad Dar, S.; Ahmad, I.; Agarwal, D. Effect of dietary Sargassum wightii and its fucoidan-rich extract on growth, immunity, disease resistance and antimicrobial peptide gene expression in Labeo rohita. Int. Aquat. Res. 2018, 10, 115–131. [Google Scholar] [CrossRef] [Scilit]
- Kumar, Y.; Tarafdar, A.; Kumar, D.; Badgujar, P.C. Effect of indian brown seaweed Sargassum wightii as a functional ingredient on the phytochemical content and antioxidant activity of coffee beverage. J. Food Sci. Technol. 2019, 56, 4516–4525. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Eberhardt, J.; Santos-Martins, D.; Tillack, A.F.; Forli, S. AutoDock vina 1.2.0: New docking methods, expanded force field, and python bindings. J. Chem. Inf. Model. 2021, 61, 3891–3898. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Dallakyan, S.; Olson, A.J. Small-molecule library screening by docking with PyRx. Methods Mol. Biol. 2015, 1263, 243–250. [Google Scholar]
- Lill, M.A.; Danielson, M.L. Computer-aided drug design platform using PyMOL. J. Comput. Aided Mol. Des. 2011, 25, 13–19. [Google Scholar] [CrossRef] [Scilit]
- Laskowski, R.A.; Swindells, M.B. LigPlot+: Multiple ligand-protein interaction diagrams for drug discovery. J. Chem. Inf. Model. 2011, 51, 2778–2786. [Google Scholar] [CrossRef] [Scilit]
- Grob, S. Slovakia. Molinspiration Cheminformatics Free Web Services. Available online: https://www.molinspiration.com (accessed on 15 January 2022).
- Xiong, G.; Wu, Z.; Yi, J.; Fu, L.; Yang, Z.; Hsieh, C.; Yin, M.; Zeng, X.; Wu, C.; Lu, A.; et al. ADMETlab 2.0: An integrated online platform for accurate and comprehensive predictions of ADMET properties. Nucleic Acids Res. 2021, 49, W5–W14. [Google Scholar] [CrossRef] [Scilit]
- Banerjee, P.; Eckert, A.O.; Schrey, A.K.; Preissner, R. ProTox-II: A webserver for the prediction of toxicity of chemicals. Nucleic Acids Res. 2018, 46, W257–W263. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Burley, S.K.; Berman, H.M.; Kleywegt, G.J.; Markley, J.L.; Nakamura, H.; Velankar, S. Protein Data Bank (PDB): The single global macromolecular structure archive. Methods Mol. Biol. 2017, 1607, 627–641. [Google Scholar] [PubMed]
- Kim, S.; Chen, J.; Cheng, T.; Gindulyte, A.; He, J.; He, S.; Li, Q.; Shoemaker, B.A.; Thiessen, P.A.; Yu, B.; et al. PubChem in 2021: New data content and improved web interfaces. Nucleic Acids Res. 2021, 49, D1388–D1395. [Google Scholar] [CrossRef] [Scilit]
- O’Boyle, N.M.; Banck, M.; James, C.A.; Morley, C.; Vandermeersch, T.; Hutchison, G.R. Open Babel: An open chemical toolbox. J. Cheminform. 2011, 73, 33. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Mani, J.S.; Johnson, J.B.; Steel, J.C.; Broszczak, D.A.; Neilsen, P.M.; Walsh, K.B.; Naiker, M. Natural product-derived phytochemicals as potential agents against coronaviruses: A review. Virus Res. 2020, 284, 197989. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Teli, D.M.; Shah, M.B.; Chhabria, M.T. In silico screening of natural compounds as potential inhibitors of SARS-CoV-2 main protease and spike RBD: Targets for COVID-19. Front. Mol. Biosci. 2021, 7, 599079. [Google Scholar] [CrossRef] [Scilit]
- Bharathi, M.; Sivamaruthi, B.S.; Kesika, P.; Thangaleela, S.; Chaiyasut, C. In silico screening of potential phytocompounds from several herbs against sars-cov-2 indian delta variant b.1.617.2 to inhibit the spike glycoprotein trimer. Appl. Sci. 2022, 12, 665. [Google Scholar] [CrossRef] [Scilit]
- Jayawardena, R.; Sooriyaarachchi, P.; Chourdakis, M.; Jeewandara, C.; Ranasinghe, P. Enhancing immunity in viral infections, with special emphasis on COVID-19: A review. Diabetes Metab. Syndr. 2020, 14, 367–382. [Google Scholar] [CrossRef] [Scilit]
- Leandro, A.; Pacheco, D.; Cotas, J.; Marques, J.C.; Pereira, L.; Gonçalves, A.M.M. Seaweed’s bioactive candidate compounds to food industry and global food security. Life 2020, 10, 140. [Google Scholar] [CrossRef] [Scilit]
- Ahmed, M.H.; Hassan, A.; Molnár, J. The role of micronutrients to support immunity for covid-19 prevention. Rev. Bras. Farmacogn. 2021, 31, 361–374. [Google Scholar] [CrossRef] [Scilit]
- Tamama, K. Potential benefits of dietary seaweeds as protection against COVID-19. Nutr. Rev. 2021, 79, 814–823. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bai, R.G.; Tuvikene, R. Potential antiviral properties of industrially important marine algal polysaccharides and their significance in fighting a future viral pandemic. Viruses 2021, 13, 1817. [Google Scholar]
- McMahan, K.; Yu, J.; Mercado, N.B.; Loos, C.; Tostanoski, L.H.; Chandrashekar, A.; Liu, J.; Peter, L.; Atyeo, C.; Zhu, A.; et al. Correlates of protection against SARS-CoV-2 in rhesus macaques. Nature 2021, 590, 630–634. [Google Scholar] [CrossRef] [Scilit]
- Collie, S.; Champion, J.; Moultrie, H.; Bekker, L.G.; Gray, G. Effectiveness of BNT162b2 vaccine against omicron variant in South Africa. N. Engl. J. Med. 2022, 386, 494–496. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Peiris, M.; Cheng, S.; Mok, C.K.P.; Leung, Y.; Ng, S.; Chan, K.; Ko, F.; Yiu, K.; Lam, B.; Lau, E.; et al. Neutralizing antibody titres to SARS-CoV-2 Omicron variant and wild-type virus in those with past infection or vaccinated or boosted with mRNA BNT162b2 or inactivated CoronaVac vaccines. Res. Sq. 2022, rs.3.rs-1207071, Preprint. [Google Scholar] [CrossRef] [Scilit]
- Durojaiye, A.B.; Clarke, J.D.; Stamatiades, G.A.; Wang, C. Repurposing cefuroxime for treatment of COVID-19: A scoping review of in silico studies. J. Biomol. Struct. Dyn. 2021, 39, 4547–4554. [Google Scholar] [CrossRef] [Scilit]
- Adebisi, Y.A.; Jimoh, N.D.; Ogunkola, I.O.; Uwizeyimana, T.; Olayemi, A.H.; Ukor, N.A.; Lucero-Prisno, D.E., 3rd. The use of antibiotics in COVID-19 management: A rapid review of national treatment guidelines in 10 African countries. Trop. Med. Health. 2021, 49, 51. [Google Scholar] [CrossRef] [Scilit]
- Mustafa, L.; Tolaj, I.; Baftiu, N.; Fejza, H. Use of antibiotics in COVID-19 ICU patients. J. Infect. Dev. Ctries. 2021, 15, 501–505. [Google Scholar] [CrossRef] [Scilit]
- Alberca, R.W.; Teixeira, F.M.E.; Beserra, D.R.; de Oliveira, E.A.; Andrade, M.M.S.; Pietrobon, A.J.; Sato, M.N. Perspective: The potential effects of naringenin in COVID-19. Front. Immunol. 2020, 11, 570919. [Google Scholar] [CrossRef] [Scilit]
- Shawan, M.M.A.K.; Halder, S.K.; Hasan, M.A. Luteolin and abyssinone II as potential inhibitors of SARS-CoV-2: An in silico molecular modeling approach in battling the COVID-19 outbreak. Bull. Natl. Res. Cent. 2021, 45, 27. [Google Scholar] [CrossRef] [Scilit]
- Wu, L.; Zhou, L.; Mo, M.; Liu, T.; Wu, C.; Gong, C.; Lu, K.; Gong, L.; Zhu, W.; Xu, Z. The effect of the multiple mutations in Omicron RBD on its binding to human ACE2 receptor and immune evasion: An investigation of molecular dynamics simulations. ChemRxiv. Camb. Camb. Open Engag. 2021. Preprint. [Google Scholar] [CrossRef] [Scilit]
- Kulkarni, S.A.; Krishnan, S.B.B.; Chandrasekhar, B.; Banerjee, K.; Sohn, H.; Madhavan, T. Characterization of phytochemicals in Ulva intestinalis L. and their action against SARS-CoV-2 spike glycoprotein receptor-binding domain. Front. Chem. 2021, 27, 735768. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Adem, Ş.; Eyupoglu, V.; Sarfraz, I.; Rasul, A.; Zahoor, A.F.; Ali, M.; Abdalla, M.; Ibrahim, I.M.; Elfiky, A.A. Caffeic acid derivatives (CAFDs) as inhibitors of SARS-CoV-2: CAFDs-based functional foods as a potential alternative approach to combat COVID-19. Phytomedicine 2021, 85, 153310. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Utsunomiya, H.; Ichinose, M.; Ikeda, K.; Uozaki, M.; Morishita, J.; Kuwahara, T.; Koyama, A.H.; Yamasaki, H. Inhibition by caffeic acid of the influenza A virus multiplication in vitro. Int. J. Mol. Med. 2014, 34, 1020–1024. [Google Scholar] [CrossRef] [Scilit]
- Ogawa, M.; Shirasago, Y.; Ando, S.; Shimojima, M.; Saijo, M.; Fukasawa, M. Caffeic acid, a coffee-related organic acid, inhibits infection by severe fever with thrombocytopenia syndrome virus in vitro. J. Infect. Chemother. Off. J. Jpn. Soc. Chemother. 2018, 24, 597–601. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Langland, J.; Jacobs, B.; Wagner, C.E.; Ruiz, G.; Cahill, T.M. Antiviral activity of metal chelates of caffeic acid and similar compounds towards herpes simplex, VSV-Ebola pseudotyped and vaccinia viruses. Antivir. Res. 2018, 160, 143–150. [Google Scholar] [CrossRef] [Scilit]
- Muhammad, Y.; Kani, Y.A.; Iliya, S.; Muhammad, J.B.; Binji, A.; Ahmad, E.A.; Kabir, M.B.; Bindawa, U.K.; Ahmed, A. Deficiency of antioxidants and increased oxidative stress in COVID-19 patients: A cross-sectional comparative study in Jigawa, Northwestern Nigeria. SAGE Open Med. 2021, 9, 2050312121991246. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ighodaro, O.M.; Akinloye, O.A. First line defence antioxidants-superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPX): Their fundamental role in the entire antioxidant defence grid. Alex. J. Med. 2018, 54, 287–293. [Google Scholar] [CrossRef] [Scilit]
- Beltrán-García, J.; Osca-Verdegal, R.; Pallardó, F.V.; Ferreres, J.; Rodríguez, M.; Mulet, S.; Sanchis-Gomar, F.; Carbonell, N.; García-Giménez, J.L. Oxidative stress and inflammation in COVID-19-associated sepsis: The potential role of anti-oxidant therapy in avoiding disease progression. Antioxidants 2020, 9, 936. [Google Scholar] [CrossRef] [Scilit]
- Behzad., S.; Sureda, A.; Barreca, D.; Nabavi, S.F.; Rastrelli, L.; Nabavi, S.M. Health effects of phloretin: From chemistry to medicine. Phytochem. Rev. 2017, 16, 527–533. [Google Scholar] [CrossRef] [Scilit]
- Fadaka, A.O.; Sibuyi, N.R.S.; Martin, D.R.; Klein, A.; Madiehe, A.; Meyer, M. Development of effective therapeutic molecule from natural sources against coronavirus protease. Int. J. Mol. Sci. 2021, 22, 9431. [Google Scholar] [CrossRef] [Scilit]
- Guan, L.; Yang, H.; Cai, Y.; Sun, L.; Di, P.; Li, W.; Liu, G.; Tang, Y. ADMET-score—A comprehensive scoring function for evaluation of chemical drug-likeness. Medchemcomm 2018, 10, 148–157. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Benkerroum, N. Chronic and acute toxicities of aflatoxins: Mechanisms of action. Int. J. Environ. Res. Public Health. 2020, 17, 423. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wang, S.; Dong, G.; Sheng, C. Structural simplification: An efficient strategy in lead optimization. Acta. Pharm. Sin. B. 2019, 9, 880–901. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lipinski, C.A.; Lombardo, F.; Dominy, B.W.; Feeney, P.J. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv. Drug Deliv. Rev. 2012, 64, 4–17. [Google Scholar] [CrossRef] [Scilit]
- Jayaraj, V.; Suhanya, R.; Vijayasarathy, M.; Anandagopu, P.; Rajasekaran, E. Role of large hydrophobic residues in proteins. Bioinformation 2009, 3, 409–412. [Google Scholar] [CrossRef] [Scilit]
- Weinstein, J.Y.; Elazar, A.; Fleishman, S.J. A lipophilicity-based energy function for membrane-protein modelling and design. PLoS Comput. Biol. 2019, 15, e1007318. [Google Scholar] [CrossRef] [Scilit]
- Gowder, M.S.; Chatterjee, J.; Chaudhuri, T.; Paul, K. Prediction and analysis of surface hydrophobic residues in tertiary structure of proteins. Sci. World J. 2014, 2014, 971258. [Google Scholar]
- Benet, L.Z.; Hosey, C.M.; Ursu, O.; Oprea, T.I. BDDCS, the Rule of 5 and drugability. Adv. Drug. Deliv. Rev. 2016, 101, 89–98. [Google Scholar] [CrossRef] [Scilit]




| Seaweeds Name | Compound Name | Molecular Formula | Mol. Weight (g/mol) | PubChem ID |
|---|---|---|---|---|
| Standard drug | Ceftriaxone | C18H18N8O7S3 | 554.6 | 5479530 |
| Cefuroxime | C16H16N4O8S | 424.4 | 5479529 | |
| C. officinalis | 3’,8,8’-Trimethoxy-3-piperidin-1-yl2,2’-binaphthyl-1,1’,4,4’-tetrone | C28H25NO7 | 487.5 | 590815 |
| Cholestan-3-ol, 2-methylene-, (3beta, 5 alpha) | C28H48O | 400.7 | 22213932 | |
| C.racemosa | Glucobrassicin | C16H20N2O9S2 | 448.5 | 656506 |
| C. sativa L | Matairesinol | C20H22O6 | 358.4 | 119205 |
| Naringenin | C15H12O5 | 272.25 | 932 | |
| Syringaresinol | C22H26O8 | 418.4 | 100067 | |
| G. corticate | Bicyclo[3.2.1]oct-3-en-2-one, 3,8-dihydroxy-7-(7-methoxy-1,3-benzodioxol-5-yl)-6-methyl-5-(2-propenyl)-, [1S-(6-endo,7-exo,8-syn)]- | C20H22O6 | 358.39 | 101282028 |
| Cholesta-8,24-dien-3-ol, 4-methyl-, (3.beta.,4.alpha.)- | C28H46O | 398.7 | 22212496 | |
| P.boergesenii | Glucobrassicin | C16H20N2O9S2 | 448.5 | 656506 |
| Glycitein | C16H12O5 | 284.26 | 5317750 | |
| Matairesinol | C20H22O6 | 358.4 | 119205 | |
| Naringenin | C15H12O5 | 272.25 | 932 | |
| Pyrano [4,3-b] benzopyran-1,9-dione, 5amethoxy-9amethyl-3-(1-propenyl) perhydro | C17H24O5 | 308.4 | 5364482 | |
| Syringaresinol | C22H26O8 | 418.4 | 100067 | |
| S. wightii | 5-p-coumaroylquinic acid | C16H18O8 | 338.31 | 6441280 |
| Caffeic acid hexoside | C15H18O9 | 342.3 | 6124135 | |
| Phloretin | C15H14O5 | 274.27 | 4788 | |
| Quercetin-3-O-arabinoglucoside | C26H28O16 | 596.5 | 5484066 |
| Seaweeds | Chemical Compound | Binding Affinity | RMSD (Å) | H/C-H Bond Interaction | Interaction Distances | Hydrophobic Interaction | Alkyl Interaction | Pi-Sigma /Cation Stacked Interaction |
|---|---|---|---|---|---|---|---|---|
| Standard drug | Ceftriaxone | −7.1 | 43.189 | ARG403, ASN417, TYR453, SER494, SER496, TYR501 | 5.36, 4.21, 6.03, 3.24, 3.59, 6.23 | ASP405, GLU406, ARG408, GLN409, LEU455, ARG493 | - | ARG403, HIS505 |
| Cefuroxime | −5.3 | 2.483 | THR376, GLY404 *, ARG408, TYR508 | 4.52, 5.06, 4.71, 5.71 | PHE375, ASN437 | ARG408, VAL503 | - | |
| C. officinalis | 3’,8,8’-Trimethoxy-3-piperidin-1-yl2,2’-binaphthyl-1,1’,4,4’-tetrone | −6.9 | 1.897 | - | - | ARG355, TYR396, ASP428, PHE429, THR430, SER514, PHE515, LEU517, LEU518 | PRO426, PRO463 | PHE464, GLU516 |
| Cholestan-3-ol, 2-methylene-, (3beta, 5 alpha) | −6.0 | 3.074 | SER494 | 4.22 | GLY482, THR470 | LEU452, TYR449, ILE472, ALA484, PHE490 | PHE490 | |
| C. racemosa | Glucobrassicin | −6.8 | 1.521 | ARG457, ARG466, ASP467, ASP467 * | 4.45, 6.50, 3.18, 5.49 | ARG454, PHE456, SER459, GLU465, ILE468, SER469, TYR473, PRO491 | ARG457, LYS458 | ARG457, ASP467, GLU471 |
| G. corticata | Bicyclo[3.2.1]oct-3-en-2-one, 3,8-dihydroxy-1-methoxy-7-(7-methoxy-1,3-benzodioxol-5-yl)-6-methyl-5 | −6.3 | 20.322 | THR430 | 4.16 | ARG355, ASP428, SER514, PHE515, GLU516, LEU517 | TYR396, PRO426, PHE429, PRO463, PHE464 | - |
| Cholesta-8,24-dien-3-ol, 4-methyl-, (3.beta.,4.alpha.)- | −6.8 | 1.544 | - | - | TYR396, ASP428, THR430, GLU465, SER514, PHE515, GLU516 | PRO426, LYS462, PRO463, PHE464 | - | |
| P. boergesenii | Glucobrassicin | −6.8 | 1.521 | ARG454, LYS458, SER459, SER469 | 5.00, 4.44, 2.38, 3.25 | PHE456, ARG457, TYR473, PRO491 | - | ASP467, GLU471 |
| Glycitein | −6.1 | 11.668 | THR376, ASP405 * | 4.71, 4.5 | GLY404, ARG408, VAL503, GLY504 | VAL407 | TYR508, PHE375 | |
| Matairesinol | −6.0 | 1.707 | ARG355, PHE464 *, SER514 | 6.65, 4.98, 3.72 | TYR396, ASP428, PHE429, THR430, PRO463, PHE515, GLU516, LEU517 | PRO426 | - | |
| Naringenin | −6.4 | 20.209 | ASN437, LYS440, LEU441 | 4.09, 4.44, 4.14 | ASN343, PHE374, PHE375, SER438, ASN439 | PRO373, LYS440 | TRP436 | |
| Pyrano [4,3-b] benzopyran-1,9-dione, 5a-methoxy-9a-methyl-3-(1-propenyl) perhydro | −6.1 | 29.617 | SER496, TYR501 | 3.39, 5.24 | ARG403, TYR453, TYR495, GLY502 | HIS505 | TYR501, HIS505 | |
| Syringaresinol | −6.4 | 0.44 | ARG355, ASP427 *, PRO463 *, PHE515 *, GLU516 | 6.88, 4.19, 4.81, 7.35, 3.78 | ASP428, THR430, SER514 | TYR396, PRO426, LYS462, PRO463 | PHE464 | |
| S. wightii | 5-p-coumaroylquinic acid | −6.0 | 4.96 | ARG403, ASN417, TYR453, SER496 | 5.43, [2.96, 4.87], 5.62, 3.42 | GLN409, GLY416, ILE418, LEU455, SER494, TYR495, TYR501, HIS505 | - | - |
| Caffeic acid hexoside | −6.4 | 2.82 | ARG403, GLU406, ASN417, TYR453, SER496 | [5.38, 6.24], 3.95, 4.96, 5.76, [3.34, 3.36] | ASP405, ARG408, GLN409, ILE418, LEU455, TYR495, SER494, TYR501, HIS505 | - | - | |
| Phloretin | −6.3 | 0.061 | TYR501, SER496, TYR453 | 5.37, 1.49, 5.90 | ARG403, TYR495, PHE497, THR500, GLY502 | - | TYR501, HIS505 | |
| Quercetin-3-O-arabinoglucoside | −6.1 | 2.248 | ASN331, THR333, GLY526, PRO527 *, LYS528C | 5.09, [3.47, 3.38], [3.93, 4.29], 4.60, 5.10 | PRO330, ILE332, CYS361, THR523 | VAL362, CYS525 | ASN360 |
| Seaweeds | Chemical Compounds | Drug−Likeness | Toxicity Analysis | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mi LogP | TPSA | natoms | nON | nOHNH | #Violations | Intestinal Absorption | Hepato Toxicity | Carcino Genicity | Immuno toxicity | Muta Genicity | Cyto toxicity | LD50 (mg/kg) | TC | ||
| Standard Drug | Cefuroxime | −0.98 | 173.77 | 29 | 12 | 4 | 1 | 0.065 | 0.66(Mild) | 0.50 (Mod) | 0.99(−) | 0.76(−) | 0.54(Mod) | 10,000 | VI |
| C. officinalis | 3’,8,8’−Trimethoxy−3−piperidin−1−yl2,2’−binaphthyl−1,1’,4,4’−tetrone | 3.99 | 99.22 | 36 | 8 | 0 | 0 | 0.606 | 0.83(−) | 0.55(Mod) | 0.70(+) | 0.56(Mod) | 0.58(Mod) | 400 | IV |
| Cholestan−3−ol, 2−methylene−, (3beta, 5 alpha) | 8.11 | 20.23 | 29 | 1 | 1 | 1 | 0.922 | 0.94(−) | 0.62(Mild) | 0.98(+) | 0.94(−) | 0.94(−) | 5000 | V | |
| G. corticate P.boergesenii | Cholesta−8,24−dien−3−ol, 4−methyl−, (3.beta.,4.alpha.)− | 7.96 | 20.23 | 29 | 1 | 1 | 1 | 0.931 | 0.82(−) | 0.58(Mod) | 0.97(+) | 0.94(−) | 0.96(−) | 2000 | IV |
| Syringaresinol | 2.62 | 95.86 | 30 | 8 | 2 | 0 | 0.599 | 0.87(−) | 0.54(Mod) | 0.95(+) | 0.84(−) | 0.99(−) | 1500 | IV | |
| S. wightii | Caffeic acid hexoside | −0.77 | 156.91 | 24 | 9 | 6 | 1 | 0.221 | 0.82(−) | 0.76(−) | 0.95(+) | 0.78(−) | 0.87(−) | 5000 | V |
| Phloretin | 2.66 | 97.98 | 20 | 5 | 4 | 0 | 0.427 | 0.63(Mod) | 0.72(mild) | 0.98(−) | 0.88(−) | 0.82(−) | 500 | IV | |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Bharathi, M.; Sivamaruthi, B.S.; Kesika, P.; Thangaleela, S.; Chaiyasut, C. In Silico Screening of Bioactive Compounds of Representative Seaweeds to Inhibit SARS-CoV-2 ACE2-Bound Omicron B.1.1.529 Spike Protein Trimer. Mar. Drugs 2022, 20, 148. https://doi.org/10.3390/md20020148
Bharathi M, Sivamaruthi BS, Kesika P, Thangaleela S, Chaiyasut C. In Silico Screening of Bioactive Compounds of Representative Seaweeds to Inhibit SARS-CoV-2 ACE2-Bound Omicron B.1.1.529 Spike Protein Trimer. Marine Drugs. 2022; 20(2):148. https://doi.org/10.3390/md20020148
Chicago/Turabian StyleBharathi, Muruganantham, Bhagavathi Sundaram Sivamaruthi, Periyanaina Kesika, Subramanian Thangaleela, and Chaiyavat Chaiyasut. 2022. "In Silico Screening of Bioactive Compounds of Representative Seaweeds to Inhibit SARS-CoV-2 ACE2-Bound Omicron B.1.1.529 Spike Protein Trimer" Marine Drugs 20, no. 2: 148. https://doi.org/10.3390/md20020148
APA StyleBharathi, M., Sivamaruthi, B. S., Kesika, P., Thangaleela, S., & Chaiyasut, C. (2022). In Silico Screening of Bioactive Compounds of Representative Seaweeds to Inhibit SARS-CoV-2 ACE2-Bound Omicron B.1.1.529 Spike Protein Trimer. Marine Drugs, 20(2), 148. https://doi.org/10.3390/md20020148

