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Editorial

Antiviral Drug Discovery

Department of Medicinal Chemistry, Key Laboratory of Chemical Biology, Ministry of Education, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, 44 West Culture Road, Jinan 250012, China
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Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2024, 25(13), 7413; https://doi.org/10.3390/ijms25137413
Submission received: 20 June 2024 / Revised: 3 July 2024 / Accepted: 5 July 2024 / Published: 6 July 2024
(This article belongs to the Special Issue Antiviral Drug Discovery)
A vast and painful price has been paid in the battle against viruses in global health. The COVID-19 pandemic is a stark reminder of the urgent need for antiviral agents, which provide an essential weapon for humans to overcome viral infections [1]. The substantial evidence includes that HIV-1 antivirals have successfully transformed a highly lethal disease into a manageable chronic disease [2,3,4], and influenza antivirals have been proven to shorten the duration and reduce mortality rates [5,6,7,8,9]. However, people often forget the hardships brought by a pandemic, just like forgetting the pandemic of SARS-CoV-1 in 2003 [10]. Until now, only a few viruses known to infect humans gained FDA-approved drugs for their epidemic [11]. However, viruses mutate rapidly under drug selection pressure, significantly reducing existing drugs’ therapeutic effects. Therefore, dealing with emerging viruses and combating drug resistance are significant challenges in discovering antiviral drugs.
This Special Issue “Antiviral Drug Discovery” aims to provide a fascinating landscape for the important and urgent research topics aimed at addressing the existing drug resistance and the potential emergence of new viral infections in the future. This covers some of the most important viruses, including SARS-CoV-2, human immunodeficiency virus 1 (HIV-1), influenza A virus (IAV), and avian infectious bronchitis virus (IBV). In addition, the broad-spectrum antiviral agents targeting host factors are also discussed in this issue.
In silico studies in SARS-CoV-2 antiviral drug discovery. Compared with the time-consuming and costly methods of traditional drug development, in silico computer screening can help us identify the hit compounds more effectively [12,13,14,15,16,17]. Mushebenge et al. presented a comprehensive review about the useful contributions of in silico studies in the discovery of SARS-CoV-2 receptors, highlighting some experimental validation to ensure the potency and anti-resistance profiles of the screened drug candidates [18]. Using deep learning generative models, Andrianov et al. identified seven promising SARS-CoV-2 inhibitors with novel scaffolds [19]. There is an ancient proverb in China that goes, “Teaching people to fish is better than teaching them to fish”, which emphasizes the importance of methods. The approach developed by Andrianov provides a reference for discovering novel compounds for the possible epidemic and pandemic preparedness.
HIV-1 antiviral drug discovery targeting HIV-1 RT and capsid protein. Although the highly active antiretroviral therapy (HAART) has effectively reduced the mortality of acquired immunodeficiency syndrome (AIDS) [20,21], increasing drug resistance problems force us to design a novel anti-HIV-1 drug with new targets and mechanisms. Zhou et al. presents a proof of concept for the design of a covalent inhibitor targeting HIV-1 RT to improve drug resistance profiles [22]. The inhibitor ZA-2 was demonstrated to covalently bind to Tyr318 in the HIV-1 non-nucleoside reverse transcriptase inhibitors binding pocket (NNIBP) with EC50 ranging from 11 to 246 nM, being far superior to that of the marketed NVP and EFV. Akther et al. conducted the structure-based design targeting HIV-1 capsid protein with the recently FDA-approved CA inhibitor GS-6207 as the lead [23]. Significantly, they work out a general synthetic route to allow the modular synthesis of novel GS-6207 subtypes, which could contribute to the further design and synthesis of novel compounds with improved potency.
IAV antiviral drug discovery targeting the Hemagglutinin 1-Mediated Virus Attachment. Since the 20th century, several outbreaks of influenza pandemics have left painful memories in human history, such as the most terrifying “Spanish Flu” in 1918–1919, killing approximate 50 million people; the “Asian Flu” in 1957–1958; the “Hong Kong Flu” in 1968–1969; the “Swine Flu” in 1976; as well as the “Russian Flu” in 1977, which also led to millions of deaths [24,25,26]. Therefore, the IAV antiviral drugs are significant as reserves for pandemic preparedness. Yang et al. identified ginsenoside G-rk1 and G-rg5 by the screening of 23 ginsenosides, which exhibited antiviral effects against 3 IAV subtypes (H1N1, H5N1, and H3N2) in vitro [27]. More importantly, they characterized the interactions between G-rk1 and HA1 in a dose-dependent manner in a surface plasmon resonance (SPR) analysis, which provided a novel method for the identification of IAV inhibitors.
The mechanism of baicalin inhibiting IBV. IBV mainly attacks birds, including broilers, which threatens the broilers’ breeding, leading to enormous cost for the global poultry industry [28,29,30]. Feng et al. demonstrated that baicalin could restore the respiratory microbiota dysbiosis and modulate amino acid metabolism to fight against IBV, which would contribute to the development of antiviral drugs against IBV [31].
Evaluation of interactions between antivirals and the immune system in antiviral drug discovery. The emergence or re-emergence of viruses with epidemic or pandemic potential, such as Ebola, SAR-CoV-1, and SAR-CoV-2, has repeatedly reminded us of the importance of developing broad-spectrum antiviral drugs [32]. The rocaglates (silvestrol, zotatifin, etc.) targeting host factors are broad-spectrum antiviral agents and efficiently inhibit the replication of Corona-, Flavi-, Picorna-, Filo- and Togaviruses by blocking viral protein synthesis [33,34,35,36,37,38,39]. Unfortunately, targeting host factors also comes with possible pleiotropic side effects [40]. Schiffmann et al. demonstrated that the inhibition of eukaryotic translation initiation factor 4A (elF4A) mRNA helicase by rocaglates could reduce the M1 MdM and T-cell and B-cell activation [41]. This interesting finding serves as a warning to the preclinical characterization of antiviral drugs that their interactions with immune system should be studied.
In summary, this Special Issue compares review and research articles on antiviral drug discovery, mainly focusing on the discovery of antivirals targeting SARS-CoV-2, HIV-1, IAV, and IBV, as well as the study of the interactions between antivirals and the immune system.
We would like to thank all the authors for their admirable work and all the reviewers for their careful evaluation of the manuscripts in this Special Issue. Finally, we sincerely appreciate the contributions of the journal editors and staff for their continuous support.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Tompa, D.R.; Immanuel, A.; Srikanth, S.; Kadhirvel, S. Trends and strategies to combat viral infections: A review on FDA approved antiviral drugs. Int. J. Biol. Macromol. 2021, 172, 524–541. [Google Scholar] [CrossRef]
  2. Fauci, A.S.; Lane, H.C. Four Decades of HIV/AIDS—Much Accomplished, Much to Do. N. Engl. J. Med. 2020, 383, 1–4. [Google Scholar] [CrossRef]
  3. Shattock, R.J.; Warren, M.; McCormack, S.; Hankins, C.A. Turning the tide against HIV. Science 2011, 333, 42–43. [Google Scholar] [CrossRef]
  4. Pirrone, V.; Thakkar, N.; Jacobson, J.M.; Wigdahl, B.; Krebs, F.C. Combinatorial approaches to the prevention and treatment of HIV-1 infection. Antimicrob. Agents Chemother. 2011, 55, 1831–1842. [Google Scholar] [CrossRef]
  5. Jones, J.C.; Yen, H.L.; Adams, P.; Armstrong, K.; Govorkova, E.A. Influenza antivirals and their role in pandemic preparedness. Antivir. Res. 2023, 210, 105499. [Google Scholar] [CrossRef]
  6. Kumari, R.; Sharma, S.D.; Kumar, A.; Ende, Z.; Mishina, M.; Wang, Y.; Falls, Z.; Samudrala, R.; Pohl, J.; Knight, P.R.; et al. Antiviral Approaches against Influenza Virus. Clin. Microbiol. Rev. 2023, 36, e0004022. [Google Scholar] [CrossRef]
  7. Hayden, F.G.; Sugaya, N.; Hirotsu, N.; Lee, N.; de Jong, M.D.; Hurt, A.C.; Ishida, T.; Sekino, H.; Yamada, K.; Portsmouth, S.; et al. Baloxavir Marboxil for Uncomplicated Influenza in Adults and Adolescents. N. Engl. J. Med. 2018, 379, 913–923. [Google Scholar] [CrossRef]
  8. Tagarro, A.; Cruz-Cañete, M.; Otheo, E.; Launes, C.; Couceiro, J.A.; Pérez, C.; Alfayate, S. Oseltamivir for the treatment of influenza in children and adolescents. An. Pediatría 2019, 90, 317.e1–317.e8. [Google Scholar] [CrossRef]
  9. Peteranderl, C.; Herold, S.; Schmoldt, C. Human Influenza Virus Infections. Semin. Respir. Crit Care Med. 2016, 37, 487–500. [Google Scholar] [CrossRef]
  10. Yang, Y.; Peng, F.; Wang, R.; Yange, M.; Guan, K.; Jiang, T.; Xu, G.; Sun, J.; Chang, C. The deadly coronaviruses: The 2003 SARS pandemic and the 2020 novel coronavirus epidemic in China. J. Autoimmun. 2020, 109, 102434. [Google Scholar] [CrossRef]
  11. De Clercq, E.; Li, G. Approved Antiviral Drugs over the Past 50 Years. Clin. Microbiol. Rev. 2016, 29, 695–747. [Google Scholar] [CrossRef]
  12. Mithun, R.; Shubham, J.K.; Anil, G.J. Drug Repurposing (DR): An Emerging Approach in Drug Discovery. In Drug Repurposing—Hypothesis, Molecular Aspects and Therapeutic Applications; Farid, A.B., Ed.; IntechOpen: Rijeka, Croatia, 2020; p. Ch. 1,1-234. [Google Scholar]
  13. Stanzione, F.; Giangreco, I.; Cole, J.C. Use of molecular docking computational tools in drug discovery. Prog. Med. Chem. 2021, 60, 273–343. [Google Scholar]
  14. Pokhrel, S.; Bouback, T.A.; Samad, A.; Nur, S.M.; Alam, R.; Abdullah-Al-Mamun, M.; Nain, Z.; Imon, R.R.; Talukder, M.E.K.; Tareq, M.M.I.; et al. Spike protein recognizer receptor ACE2 targeted identification of potential natural antiviral drug candidates against SARS-CoV-2. Int. J. Biol. Macromol. 2021, 191, 1114–1125. [Google Scholar] [CrossRef]
  15. Sohrab, S.S.; Aly El-Kafrawy, S.; Mirza, Z.; Hassan, A.M.; Alsaqaf, F.; Azhar, E.I. In silico prediction and experimental validation of siRNAs targeting ORF1ab of MERS-CoV in Vero cell line. Saudi J. Biol. Sci. 2021, 28, 1348–1355. [Google Scholar] [CrossRef]
  16. Talluri, S. Molecular Docking and Virtual Screening Based Prediction of Drugs for COVID-19. Comb. Chem. High. Throughput Screen. 2021, 24, 716–728. [Google Scholar] [CrossRef]
  17. Vamathevan, J.; Clark, D.; Czodrowski, P.; Dunham, I.; Ferran, E.; Lee, G.; Li, B.; Madabhushi, A.; Shah, P.; Spitzer, M.; et al. Applications of machine learning in drug discovery and development. Nat. Rev. Drug Discov. 2019, 18, 463–477. [Google Scholar] [CrossRef]
  18. Mushebenge, A.G.; Ugbaja, S.C.; Mbatha, N.A.; Khan, R.B.; Kumalo, H.M. Assessing the Potential Contribution of In Silico Studies in Discovering Drug Candidates That Interact with Various SARS-CoV-2 Receptors. Int. J. Mol. Sci. 2023, 24, 15518. [Google Scholar] [CrossRef]
  19. Andrianov, A.M.; Shuldau, M.A.; Furs, K.V.; Yushkevich, A.M.; Tuzikov, A.V. AI-Driven De Novo Design and Molecular Modeling for Discovery of Small-Molecule Compounds as Potential Drug Candidates Targeting SARS-CoV-2 Main Protease. Int. J. Mol. Sci. 2023, 24, 8083. [Google Scholar] [CrossRef]
  20. Mugyenyi, P. Highly active antiretroviral therapy. BMJ 2004, 329, 1118–1119. [Google Scholar] [CrossRef]
  21. Chen, L.F.; Hoy, J.; Lewin, S.R. Ten years of highly active antiretroviral therapy for HIV infection. Med. J. Aust. 2007, 186, 146–151. [Google Scholar] [CrossRef]
  22. Zhou, Z.; Meng, B.; An, J.; Zhao, F.; Sun, Y.; Zeng, D.; Wang, W.; Gao, S.; Xia, Y.; Dun, C.; et al. Covalently Targeted Highly Conserved Tyr318 to Improve the Drug Resistance Profiles of HIV-1 NNRTIs: A Proof-of-Concept Study. Int. J. Mol. Sci. 2023, 24, 1215. [Google Scholar] [CrossRef]
  23. Akther, T.; McFadden, W.M.; Zhang, H.; Kirby, K.A.; Sarafianos, S.G.; Wang, Z. Design and Synthesis of New GS-6207 Subtypes for Targeting HIV-1 Capsid Protein. Int. J. Mol. Sci. 2024, 25, 3734. [Google Scholar] [CrossRef]
  24. Martini, M.; Gazzaniga, V.; Bragazzi, N.L.; Barberis, I. The Spanish Influenza Pandemic: A lesson from history 100 years after 1918. J. Prev. Med. Hyg. 2019, 60, E64–E67. [Google Scholar]
  25. Akin, L.; Gözel, M.G. Understanding dynamics of pandemics. Turk. J. Med. Sci. 2020, 50, 515–519. [Google Scholar] [CrossRef]
  26. Gordon, S. Legacy of the influenza pandemic 1918: Introduction. Biomed. J. 2019, 42, 5–7. [Google Scholar] [CrossRef]
  27. Yang, X.; Sun, H.; Zhang, Z.; Ou, W.; Xu, F.; Luo, L.; Liu, Y.; Chen, W.; Chen, J. Antiviral Effect of Ginsenosides rk1 against Influenza a Virus Infection by Targeting the Hemagglutinin 1-Mediated Virus Attachment. Int. J. Mol. Sci. 2023, 24, 4967. [Google Scholar] [CrossRef]
  28. Ting, X.; Xiang, C.; Liu, D.X.; Chen, R. Establishment and Cross-Protection Efficacy of a Recombinant Avian Gammacoronavirus Infectious Bronchitis Virus Harboring a Chimeric S1 Subunit. Front. Microbiol. 2022, 13, 897560. [Google Scholar] [CrossRef]
  29. Khataby, K.; Fellahi, S.; Loutfi, C.; Mustapha, E.M. Avian infectious bronchitis virus in Africa: A review. Vet. Q. 2016, 36, 71–75. [Google Scholar] [CrossRef]
  30. Cavanagh, D. Coronavirus avian infectious bronchitis virus. Vet. Res. 2007, 38, 281–297. [Google Scholar] [CrossRef]
  31. Feng, H.; Zhang, J.; Wang, X.; Guo, Z.; Wang, L.; Zhang, K.; Li, J. Baicalin Protects Broilers against Avian Coronavirus Infection via Regulating Respiratory Tract Microbiota and Amino Acid Metabolism. Int. J. Mol. Sci. 2024, 25, 2109. [Google Scholar] [CrossRef]
  32. Geraghty, R.J.; Aliota, M.T.; Bonnac, L.F. Broad-Spectrum Antiviral Strategies and Nucleoside Analogues. Viruses 2021, 13, 667. [Google Scholar] [CrossRef]
  33. Henss, L.; Scholz, T.; Grünweller, A.; Schnierle, B.S. Silvestrol Inhibits Chikungunya Virus Replication. Viruses 2018, 10, 592. [Google Scholar] [CrossRef]
  34. Glitscher, M.; Himmelsbach, K.; Woytinek, K.; Johne, R.; Reuter, A.; Spiric, J.; Schwaben, L.; Grünweller, A.; Hildt, E. Inhibition of Hepatitis E Virus Spread by the Natural Compound Silvestrol. Viruses 2018, 10, 301. [Google Scholar] [CrossRef]
  35. Müller, C.; Schulte, F.W.; Lange-Grünweller, K.; Obermann, W.; Madhugiri, R.; Pleschka, S.; Ziebuhr, J.; Hartmann, R.K.; Grünweller, A. Broad-spectrum antiviral activity of the eIF4A inhibitor silvestrol against corona- and picornaviruses. Antivir. Res. 2018, 150, 123–129. [Google Scholar] [CrossRef] [PubMed]
  36. Biedenkopf, N.; Lange-Grünweller, K.; Schulte, F.W.; Weißer, A.; Müller, C.; Becker, D.; Becker, S.; Hartmann, R.K.; Grünweller, A. The natural compound silvestrol is a potent inhibitor of Ebola virus replication. Antivir. Res. 2017, 137, 76–81. [Google Scholar] [CrossRef]
  37. Elgner, F.; Sabino, C.; Basic, M.; Ploen, D.; Grünweller, A.; Hildt, E. Inhibition of Zika Virus Replication by Silvestrol. Viruses 2018, 10, 149. [Google Scholar] [CrossRef] [PubMed]
  38. Müller, C.; Obermann, W.; Karl, N.; Wendel, H.G.; Taroncher-Oldenburg, G.; Pleschka, S.; Hartmann, R.K.; Grünweller, A.; Ziebuhr, J. The rocaglate CR-31-B (-) inhibits SARS-CoV-2 replication at non-cytotoxic, low nanomolar concentrations in vitro and ex vivo. Antivir. Res. 2021, 186, 105012. [Google Scholar] [CrossRef]
  39. Müller, C.; Obermann, W.; Schulte, F.W.; Lange-Grünweller, K.; Oestereich, L.; Elgner, F.; Glitscher, M.; Hildt, E.; Singh, K.; Wendel, H.G.; et al. Comparison of broad-spectrum antiviral activities of the synthetic rocaglate CR-31-B (-) and the eIF4A-inhibitor Silvestrol. Antivir. Res. 2020, 175, 104706. [Google Scholar] [CrossRef] [PubMed]
  40. Gerold, G.; Pietschmann, T. Opportunities and Risks of Host-targeting Antiviral Strategies for Hepatitis C. Curr. Hepat. Rep. 2013, 12, 200–213. [Google Scholar] [CrossRef]
  41. Schiffmann, S.; Henke, M.; Seifert, M.; Ulshöfer, T.; Roser, L.A.; Magari, F.; Wendel, H.G.; Grünweller, A.; Parnham, M.J. Comparing the Effects of Rocaglates on Energy Metabolism and Immune Modulation on Cells of the Human Immune System. Int. J. Mol. Sci. 2023, 24, 5872. [Google Scholar] [CrossRef]
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Zhou, Z.; Liu, X.; Kang, D. Antiviral Drug Discovery. Int. J. Mol. Sci. 2024, 25, 7413. https://doi.org/10.3390/ijms25137413

AMA Style

Zhou Z, Liu X, Kang D. Antiviral Drug Discovery. International Journal of Molecular Sciences. 2024; 25(13):7413. https://doi.org/10.3390/ijms25137413

Chicago/Turabian Style

Zhou, Zhenzhen, Xinyong Liu, and Dongwei Kang. 2024. "Antiviral Drug Discovery" International Journal of Molecular Sciences 25, no. 13: 7413. https://doi.org/10.3390/ijms25137413

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