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In silico studies of selected multi-drug targeting against 3CLpro and nsp12 RNA-dependent RNA-polymerase proteins of SARS-CoV-2 and SARS-CoV

Udofia et al., Network Modeling Analysis in Health Informatics and Bioinformatics, doi:10.1007/s13721-021-00299-2
Mar 2021  
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Ivermectin for COVID-19
4th treatment shown to reduce risk in August 2020, now with p < 0.00000000001 from 105 studies, recognized in 23 countries.
No treatment is 100% effective. Protocols combine treatments.
5,100+ studies for 109 treatments. c19ivm.org
In Silico analysis finding that ivermectin had the highest binding energy against the 3CLpro of SARS-CoV-2 and RdRps of both SARS-CoV and SARS-CoV-2.
69 preclinical studies support the efficacy of ivermectin for COVID-19:
Ivermectin, better known for antiparasitic activity, is a broad spectrum antiviral with activity against many viruses including H7N767, Dengue33,68,69, HIV-169, Simian virus 4070, Zika33,71,72, West Nile72, Yellow Fever73,74, Japanese encephalitis73, Chikungunya74, Semliki Forest virus74, Human papillomavirus53, Epstein-Barr53, BK Polyomavirus75, and Sindbis virus74.
Ivermectin inhibits importin-α/β-dependent nuclear import of viral proteins67,69,70,76, shows spike-ACE2 disruption at 1nM with microfluidic diffusional sizing34, binds to glycan sites on the SARS-CoV-2 spike protein preventing interaction with blood and epithelial cells and inhibiting hemagglutination37,77, shows dose-dependent inhibition of wildtype and omicron variants32, exhibits dose-dependent inhibition of lung injury57,62, may inhibit SARS-CoV-2 via IMPase inhibition33, may inhibit SARS-CoV-2 induced formation of fibrin clots resistant to degradation6, inhibits SARS-CoV-2 3CLpro50, may inhibit SARS-CoV-2 RdRp activity25, may minimize viral myocarditis by inhibiting NF-κB/p65-mediated inflammation in macrophages56, may be beneficial for COVID-19 ARDS by blocking GSDMD and NET formation78, may interfere with SARS-CoV-2's immune evasion via ORF8 binding1, may inhibit SARS-CoV-2 by disrupting CD147 interaction79-82, shows protection against inflammation, cytokine storm, and mortality in an LPS mouse model sharing key pathological features of severe COVID-1955,83, may be beneficial in severe COVID-19 by binding IGF1 to inhibit the promotion of inflammation, fibrosis, and cell proliferation that leads to lung damage5, may minimize SARS-CoV-2 induced cardiac damage36,44, increases Bifidobacteria which play a key role in the immune system84, has immunomodulatory47 and anti-inflammatory66,85 properties, and has an extensive and very positive safety profile86.
Udofia et al., 25 Mar 2021, peer-reviewed, 5 authors.
In Silico studies are an important part of preclinical research, however results may be very different in vivo.
This PaperIvermectinAll
In silico studies of selected multi-drug targeting against 3CLpro and nsp12 RNA-dependent RNA-polymerase proteins of SARS-CoV-2 and SARS-CoV
Inemesit A Udofia, Kofoworola O Gbayo, Oluwakemi A Oloba-Whenu, Taofeek B Ogunbayo, Chukwuemeka Isanbor
Network Modeling Analysis in Health Informatics and Bioinformatics, doi:10.1007/s13721-021-00299-2
An outbreak of a cluster of viral pneumonia cases, subsequently identified as coronavirus disease 2019 , due to a novel SARS-CoV-2 necessitates an urgent need for a vaccine to prevent infection or an approved medication for a cure. In our in silico molecular docking study, a total of 173 compounds, including FDA-approved antiviral drugs, with good ADME descriptors, and some other nucleotide analogues were screened. The results show that these compounds demonstrate strong binding affinity for the residues at the active sites of RNA-dependent RNA-polymerase (RdRp) modelled structures and Chymotrypsin-like cysteine protease (3CLpro) of the HCoV proteins. Free energies (ΔG's) of binding for SARS-CoV-2 and SARS-CoV RdRp range from -5.4 to -8.8 kcal/mol and -4.9 to -8.7 kcal/mol, respectively. Also, SARS-CoV-2 and SARS-CoV 3CLpro gave ΔG values ranging from − 5.1 to − 8.4 kcal/mol and − 5.5 to − 8.6 kcal/mol, respectively. Interesting results are obtained for ivermectin, an antiparasitic agent with broad spectrum activity, which gave the highest binding energy value (− 8.8 kcal/mol) against the 3CLpro of SARS-CoV-2 and RdRps of both SARS-CoV and SARS-CoV-2. The reason for such high binding energy values is probably due to the presence of hydroxy, methoxy and sugar moieties in its structure. The stability of the protein-ligand complexes of polymerase inhibitors considered in this investigation, such as Sofosbuvir, Remdesivir, Tenofovir, Ribavirin, Galidesivir, 5c3, 5h1 and 7a1, show strong to moderate hydrogen bonding and hydrophobic interactions (π-π stacked, π-π T-shaped, π-sigma and π-alkyl). The stability provided from such interactions translate into greater antiviral activity or inhibitory effect of the ligands. Assessment of the average free energies of binding of the FDA approved drugs are highly comparable for conformers of a particular inhibitor, indicating similar modes of binding within the pockets.
Supplementary Information The online version contains supplementary material available at https:// doi. org/ 10. 1007/ s13721-021-00299-2.
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' 'https://doi.org/10.1093/bioinformatics/btt447', 'journal-title': 'Bioinformatics'}], 'container-title': 'Network Modeling Analysis in Health Informatics and Bioinformatics', 'original-title': [], 'language': 'en', 'link': [ { 'URL': 'https://link.springer.com/content/pdf/10.1007/s13721-021-00299-2.pdf', 'content-type': 'application/pdf', 'content-version': 'vor', 'intended-application': 'text-mining'}, { 'URL': 'https://link.springer.com/article/10.1007/s13721-021-00299-2/fulltext.html', 'content-type': 'text/html', 'content-version': 'vor', 'intended-application': 'text-mining'}, { 'URL': 'https://link.springer.com/content/pdf/10.1007/s13721-021-00299-2.pdf', 'content-type': 'application/pdf', 'content-version': 'vor', 'intended-application': 'similarity-checking'}], 'deposited': { 'date-parts': [[2021, 12, 9]], 'date-time': '2021-12-09T08:21:50Z', 'timestamp': 1639038110000}, 'score': 1, 'resource': {'primary': {'URL': 'https://link.springer.com/10.1007/s13721-021-00299-2'}}, 'subtitle': [], 'short-title': [], 'issued': {'date-parts': [[2021, 3, 25]]}, 'references-count': 61, 'journal-issue': {'issue': '1', 'published-print': {'date-parts': [[2021, 12]]}}, 'alternative-id': ['299'], 'URL': 'http://dx.doi.org/10.1007/s13721-021-00299-2', 'relation': {}, 'ISSN': ['2192-6662', '2192-6670'], 'subject': [], 'container-title-short': 'Netw Model Anal Health Inform Bioinforma', 'published': {'date-parts': [[2021, 3, 25]]}, 'assertion': [ { 'value': '31 October 2020', 'order': 1, 'name': 'received', 'label': 'Received', 'group': {'name': 'ArticleHistory', 'label': 'Article History'}}, { 'value': '25 January 2021', 'order': 2, 'name': 'revised', 'label': 'Revised', 'group': {'name': 'ArticleHistory', 'label': 'Article History'}}, { 'value': '12 March 2021', 'order': 3, 'name': 'accepted', 'label': 'Accepted', 'group': {'name': 'ArticleHistory', 'label': 'Article History'}}, { 'value': '25 March 2021', 'order': 4, 'name': 'first_online', 'label': 'First Online', 'group': {'name': 'ArticleHistory', 'label': 'Article History'}}, { 'value': 'This content has been made available to all.', 'name': 'free', 'label': 'Free to read'}], 'article-number': '22'}
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