Searching for potential drugs against SARS-CoV-2 through virtual screening on several molecular targets.
Ontology highlight
ABSTRACT:
SUBMITTER: Almeida JSFD
PROVIDER: S-EPMC7876915 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The outbreak of the novel coronavirus severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19) respiratory disease, led to a global pandemic with high morbidity and mortality. Despite frenzied efforts in therapeutic development, there are currently no effective drugs for treatment, nor are there vaccines for its prevention. Drug repurposing, representing as an effective drug discovery strategy from existing drugs, is one of the most practical treatment options against the outbreak. In this study, we present a novel strategy for in silico molecular modeling screening for potential drugs that may interact with multiple main proteins of SARS-CoV-2. Targeting multiple viral proteins is a novel drug discovery concept in that it enables the potential drugs to act on different stages of the virus' life cycle, thereby potentially maximizing the drug potency. We screened 2631 US Food and Drug Administration (FDA)-approved small molecules against 4 key proteins of SARS-CoV-2 that are known as attractive targets for antiviral drug development. In total, we identified 29 drugs that could actively interact with 2 or more target proteins, with 5 drugs (avapritinib, bictegravir, ziprasidone, capmatinib, and pexidartinib) being common candidates for all 4 key host proteins and 3 of them possessing the desirable molecular properties. By overlaying docked positions of drug candidates onto individual host proteins, it has been further confirmed that the binding site conformations are conserved. The drugs identified in our screening provide potential guidance for experimental confirmation, such as in vitro molecular assays and in vivo animal testing, as well as incorporation into ongoing clinical studies.
| S-EPMC8014887 | biostudies-literature
Project description:The global emergency caused by COVID-19 makes the discovery of drugs capable of inhibiting SARS-CoV-2 a priority, to reduce the mortality and morbidity of this disease. Repurposing approved drugs can provide therapeutic alternatives that promise rapid and ample coverage because they have a documented safety record, as well as infrastructure for large-scale production. The main protease of SARS-CoV-2 (Mpro) is an excellent therapeutic target because it is critical for viral replication; however, Mpro has a highly flexible active site that must be considered when performing computer-assisted drug discovery. In this work, potential inhibitors of the main protease (Mpro) of SARS-Cov-2 were identified through a docking-assisted virtual screening procedure. A total of 4384 drugs, all approved for human use, were screened against three conformers of Mpro. The ligands were further studied through molecular dynamics simulations and binding free energy analysis. A total of nine currently approved molecules are proposed as potential inhibitors of SARS-CoV-2. These molecules can be further tested to speed the development of therapeutics against COVID-19.
| S-EPMC7316061 | biostudies-literature
Project description:SARS-CoV-2 has triggered a major epidemic among people around the world, and it is the newest in the sequence to become prevalent among other infectious diseases. The drug repurposing concept has been utilized effectively for numerous viral infections. Considering the situation and the urgency, the idea of drug repurposing for coronavirus infection (COVID-19) is also being studied. The molecular docking method was used for the screening of 29 antiviral drugs against primary protease proteins (MPP) of SARS-CoV-2, spike ecto-domain, spike receptor binding domain, Nsp9 RNA binding protein, and HR2 domain. Among these drugs, in terms of least binding energy, Indinavir, Sorivudine, Cidofovir, and Darunavir showed minimum docking scores with all the key proteins. For ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) analysis, the ADMET properties of the top 4 drug candidates were retrieved through literature study. This analysis revealed that these drug candidates are well metabolized, distributed, and bioavailable, but have some undesirable effects. Furthermore, some approved structural analogues, such as Telbivudine, Tenofovir, Amprenavir, Fosamprenavir, etc., were predicted as similar drugs which may also be used for treating viral infections. We highly recommend these drug candidates as potential fighters against the deadly SARS-CoV-2 virus, and suggest in vivo trials for experimental validation of our findings.
| S-EPMC7874919 | biostudies-literature
Project description:BackgroundThe present pandemic situation due to coronavirus has led to the search for newer prevention, diagnostic, and treatment methods. The onset of the corona infection in a human results in acute respiratory illness followed by death if not diagnosed and treated with suitable antiretroviral drugs. With the unavailability of the targeted drug treatment, several repurposed drugs are being used for treatment. However, the side-effects of the drugs urges us to move to a search for newer synthetic- or phytochemical-based drugs. The present study investigates the use of various phytochemicals virtually screened from various plant sources in Western Ghats, India, and subsequently molecular docking studies were performed to identify the efficacy of the drug in retroviral infection particularly coronavirus infection.ResultsOut of 57 phytochemicals screened initially based on the structural and physicochemical properties, 39 were effectively used for the docking analysis. Finally, 5 lead compounds with highest hydrophobic interaction and number of H-bonds were screened. Results from the interaction analysis suggest Piperolactam A to be pocketed well with good hydrophobic interaction with the residues in the binding region R1. ADME and toxicity profiling also reveals Piperolactam A with higher LogS values indicating higher permeation and hydrophilicity. Toxicity profiling suggests that the 5 screened compounds to be relatively safe.ConclusionThe in silico methods used in this study suggests that the compound Piperolactam A to be the most effective inhibitor of S-protein from binding to the GRP78 receptor. By blocking the binding of the S-protein to the CS-GRP78 cell surface receptor, they can inhibit the binding of the virus to the host.Supplementary informationThe online version contains supplementary material available at 10.1186/s43088-021-00095-x.
| S-EPMC7841026 | biostudies-literature
Project description:The outbreak of novel coronavirus strain (Covid-19) with a high pandemic threat has predict grave public health and economic concerns. This virus, originating from the Wuhan region in China has spread worldwide affecting millions with no registered persuasive targeted therapy. In this paper, we analyze the three important proteins encoded by the virus, envelope protein 5 × 29, RNA binding nucleocapsid protein 1SSK, and spike glycoprotein 6ACD, for an effective virion accumulation, and remdesivir was the first drug approved by the FDA and EMA for the treatment of COVID-19 cases that require hospitalization, there is still much controversy about its efficacy and also an alternative for novel phytochemicals, deoxynojirimycin, trigoneoside IB, and octanoic acid. The in-silico evaluations were conducted using the PyRx virtual screening tools which lead to the target based on high binding affinity. Trigoneoside IB, derived from Trigonella foenum-graecum (Fenugreek), showed the highest binding affinity and stable interaction with the amino acid residues present in active sites of Covid-19 proteins. Meanwhile, the other two compounds derived from Morus alba (Mulberry) and Morinda citrifolia (Noni), as well as the anti-HIV remdesivir drug exhibited good binding affinity and favorable ADME properties. Thereby offering scope for validation of the new therapeutic components for their in vitro and in vivo efficacy against the Covid-19 proteins.
| S-EPMC8110638 | biostudies-literature
Project description:Till date millions of people are infected by SARS-CoV-2 throughout the world, while no potential therapeutics or vaccines are available to combat this deadly virus. Blocking of human angiotensin-converting enzyme 2 (ACE-2) receptor, the binding site of SARS-CoV-2 spike protein, an effective strategy to discover a drug for COVID-19. Herein we have selected 24 anti-bacterial and anti-viral drugs and made a comprehensive analysis by screened them virtually against ACE-2 receptor to find the best blocker by molecular docking and molecular dynamics studies. Analysis of results revealed that, Cefpiramide (CPM) showed the highest binding affinity of -9.1 kcal/mol. Furthermore, MD study for 10 ns and evaluation of parameters like RMSD, RMSF, radius of gyration, solvent accessible surface area analysis confirmed that CPM effectively binds and blocks ACE-2 receptor efficiently.
| S-EPMC7845504 | biostudies-literature
Project description:Because of the scale of the novel coronavirus (COVID-19) pandemic and the swift transmission of this highly contagious respiratory virus, repurposing existing drugs has become an urgent treatment approach. The objective of our study is to unravel the binding mechanism of the Food and Drug Administration (FDA)-approved dexamethasone (Dex) and boceprevir (Boc) drugs with selected COVID-19 protein targets SARS-CoV-2 spike protein C-terminal domain (spike-CTD), main protease (Mpro), and interleukin-6 (IL-6). Another objective is to analyze the effects of binding Dex and Boc drugs on the interactions of viral spike protein to human angiotensin-converting enzyme 2 (hACE2). Molecular docking and one-microsecond-long molecular dynamics simulations of each of the six protein-drug complexes along with steered molecular dynamics (SMD) and umbrella sampling (US) methods have revealed the binding mode interactions and the physicochemical stability of the three targeted proteins with two drugs. Results have shown that both drugs bind strongly with the three protein targets through hydrogen bonding and hydrophobic interactions. A major finding from this study is how the binding of the drugs with viral spike protein affects its interactions at the binding interface with hACE2 protein. Simulations of drug-bound spike-CTD with hACE2 show that due to the presence of a drug at the binding interface of spike-CTD, hACE2 is being blocked from making putative interactions with viral protein at such interface. These important findings regarding the binding affinity and stability of the two FDA-approved drugs with the main targets of COVID-19 along with the effect of drugs on hACE2 interactions would contribute to COVID-19 drug discovery and development.Supplementary informationThe online version contains supplementary material available at 10.1007/s11696-021-01843-0.
| S-EPMC8404755 | biostudies-literature
Project description:The pandemic of novel coronavirus disease 2019 (COVID-19) has rampaged the world, with more than 58.4 million confirmed cases and over 1.38 million deaths across the world by 23 November 2020. There is an urgent need to identify effective drugs and vaccines to fight against the virus. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to the family of coronaviruses consisting of four structural and 16 non-structural proteins (NSP). Three non-structural proteins, main protease (Mpro), papain-like protease (PLpro), and RNA-dependent RNA polymerase (RdRp), are believed to have a crucial role in replication of the virus. We applied computational ligand-receptor binding modeling and performed comprehensive virtual screening on FDA-approved drugs against these three SARS-CoV-2 proteins using AutoDock Vina, Glide, and rDock. Our computational studies identified six novel ligands as potential inhibitors against SARS-CoV-2, including antiemetics rolapitant and ondansetron for Mpro; labetalol and levomefolic acid for PLpro; and leucal and antifungal natamycin for RdRp. Molecular dynamics simulation confirmed the stability of the ligand-protein complexes. The results of our analysis with some other suggested drugs indicated that chloroquine and hydroxychloroquine had high binding energy (low inhibitory effect) with all three proteins-Mpro, PLpro, and RdRp. In summary, our computational molecular docking approach and virtual screening identified some promising candidate SARS-CoV-2 inhibitors that may be considered for further clinical studies.
| S-EPMC7928605 | biostudies-literature
Project description:The unprecedented outbreak of the severe acute respiratory syndrome (SARS) Coronavirus-2, across the globe, triggered a worldwide uproar in the search for immediate treatment strategies. With no specific drug and not much data available, alternative approaches such as drug repurposing came to the limelight. To date, extensive research on the repositioning of drugs has led to the identification of numerous drugs against various important protein targets of the coronavirus strains, with hopes of the drugs working against the major variants of concerns (alpha, beta, gamma, delta, omicron) of the virus. Advancements in computational sciences have led to improved scope of repurposing via techniques such as structure-based approaches including molecular docking, molecular dynamic simulations and quantitative structure activity relationships, network-based approaches, and artificial intelligence-based approaches with other core machine and deep learning algorithms. This review highlights the various approaches to repurposing drugs from a computational biological perspective, with various mechanisms of action of the drugs against some of the major protein targets of SARS-CoV-2. Additionally, clinical trials data on potential COVID-19 repurposed drugs are also highlighted with stress on the major SARS-CoV-2 targets and the structural effect of variants on these targets. The interaction modelling of some important repurposed drugs has also been elucidated. Furthermore, the merits and demerits of drug repurposing are also discussed, with a focus on the scope and applications of the latest advancements in repurposing.
| S-EPMC9346052 | biostudies-literature
Project description:The SARS-CoV-2 coronavirus is responsible for the COVID-19 outbreak, which overwhelmed millions of people worldwide; hence, there is an urgency to identify appropriate antiviral drugs. This study focuses on screening compounds that inhibit RNA-dependent RNA-polymerase (RdRp) essential for RNA synthesis required for replication of positive-strand RNA viruses. Computational screening against RdRp using Food and Drug Administration (FDA)-approved drugs identified ten prominent compounds with binding energies of more than - 10.00 kcal/mol, each a potential inhibitor of RdRp. These compounds' binding energy is comparable to known RdRp inhibitors remdesivir (IC50 = 10.09 μM, SI = 4.96) and molnupiravir (EC50 = 0.67 - 2.66 µM) and 0.32-2.03 µM). Remdesivir and molnupiravir have been tested in clinical trial and remain authorized for emergency use in the treatment of COVID-19. In docking simulations, selected compounds are bound to the substrate-binding pocket of RdRp and showed hydrophobic and hydrogen bond interaction. For molecular dynamics simulation, capmatinib, pralsetinib, ponatinib, and tedizolid phosphate were selected from the initial ten candidate compounds. MD simulation indicated that these compounds are stable at 50-ns MD simulation when bound to RdRp protein. The screen hit compounds, remdesivir, molnupiravir, and GS-441524, are bound in the substrate binding pocket with good binding-free energy. As a consequence, capmatinib, pralsetinib, ponatinib, and tedizolid phosphate are potential new inhibitors of RdRp protein with potential of limiting COVID-19 infection by blocking RNA synthesis.Supplementary informationThe online version contains supplementary material available at 10.1007/s11224-022-02072-1.
| S-EPMC9702953 | biostudies-literature