In Silico Drug Repurposing for SARS-CoV-2 Main Proteinase and Spike Proteins.
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ABSTRACT:
SUBMITTER: Maffucci I
PROVIDER: S-EPMC7640956 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:COVID-19, caused by novel coronavirus or SARS-CoV-2, is a viral disease which has infected millions worldwide. Considering the urgent need of the drug for fighting against this infectious disease, we have performed in-silico drug repurposing followed by molecular dynamics (MD) simulation and MM-GBSA calculation. The main protease (Mpro) is one of the best-characterized drug targets among coronaviruses, therefore, this was screened for already known FDA approved drugs and some natural compounds. Comparison of docking and MD simulation results of complexes of drugs with that of inhibitor N3 (experimentally obtained) suggests EGCG, withaferin, dolutegravir, artesunate as potential inhibitors of the main protease (Mpro). Further, in silico docking and MD simulation suggest that EGCG analogues ZINC21992196 and ZINC 169337541 may act as a better inhibitor.Communicated by Ramaswamy H. Sarma.
| S-EPMC7678360 | biostudies-literature
Project description:This article highlights recent pioneering work by Günther et al. towards the discovery of potential repurposed antiviral compounds (peptidomimetic and non-peptidic) against the SARS-CoV-2 main protease (Mpro ). The antiviral activity of the most potent drugs is discussed along with their binding mode to Mpro as observed through X-ray crystallographic screening.
| S-EPMC8652770 | biostudies-literature
Project description:The recent emergence of the severe acute respiratory disease caused by a novel coronavirus remains a concern posing many challenges to public health and the global economy. The resolved crystal structure of the main protease of SARS-CoV-2 or SCV2 (Mpro) has led to its identification as an attractive target for designing potent antiviral drugs. Herein, we provide a comparative molecular impact of hydroxychloroquine (HCQ), remdesivir, and β-D-N4-Hydroxycytidine (NHC) binding on SCV2 Mpro using various computational approaches like molecular docking and molecular dynamics (MD) simulation. Data analyses showed that HCQ, remdesivir, and NHC binding to SARS-CoV-2 Mpro decrease the protease loop capacity to fluctuate. These binding influences the drugs’ optimum orientation in the conformational space of SCV2 Mpro and produce noticeable steric effects on the interactive residues. An increased hydrogen bond formation was observed in SCV2 Mpro–NHC complex with a decreased receptor residence time during NHC binding. The binding mode of remdesivir to SCV2 Mpro differs from other drugs having van der Waals interaction as the force stabilizing protein–remdesivir complex. Electrostatic interaction dominates in the SCV2 Mpro−HCQ and SCV2 Mpro–NHC. Residue Glu166 was highly involved in the stability of remdesivir and NHC binding at the SCV2 Mpro active site, while Asp187 provides stability for HCQ binding.
| S-EPMC10036164 | biostudies-literature
Project description:The outbreak of Coronavirus infection (COVID-19) has prompted the World Health Organisation (WHO) to declare the outbreak, a Public Health Emergency of International concern. As part of the efforts to discover lead compounds for clinical use, 53 molecules were screened using molecular docking and dynamic simulations (MDS) techniques to identify potential inhibitors of SARS-CoV-2 spike protein (COVID-19 Sgp) and main protease (COVID-19 Mpro) or both. Lopinavir (LPV), nelfinavir (NEF), hydroxychloroquine (HCQ), remdesivir (RDV) and an irreversible inhibitor of SARS-CoV (N3) were used as standard drugs for COVID-19 Mpro, while zafirlukast (ZFK) and cefoperazone (CSP)) as standard drugs for COVID-19 Sgp. After 100 ns of MDS, with reference to standard drugs (N3, -52.463 Kcal/mol, NEF, -51.618 Kcal/mol, RDV, -48.780 Kcal/mol, LPV, -46.788 Kcal/mol, DRV, -33.655 Kcal/mol and HCQ, -21.065 Kcal/mol), five molecules, HCR, GRN, C3G, EGCG, and K7G were predicted to be promising inhibitors of COVID-19 Mpro with binding energies of -53.877 kcal/mol, -50.653 Kcal/mol, -48.600 kcal/mol, -47.798 kcal/mol and -46.902 kcal/mol, respectively. These lead molecules were then docked at receptor-binding domain (RBD) of COVID-19 Sgp to examine their inhibitory effects. C3G, GRN and K7G exhibited higher binding energies of -42.310 kcal/mol, -32.210 kcal/mol, -26.922 kcal/mol than the recorded values for the reference drugs (CSP, -35.509 kcal/mol, ZFK, -24.242 kcal/mol), respectively. The results of the binding energy and structural analyses from this study revealed that C3G, GRN and K7G could serve as potential dual inhibitors of COVID-19 Sgp and COVID-19 Mpro, while HCR and EGCG would be inhibitors of COVID-19 Mpro.Communicated by Ramaswamy H. Sarma.
| S-EPMC7898306 | biostudies-literature
Project description:Herein, the DrugBank database which contains 10,036 approved and investigational drugs was explored deeply for potential drugs that target SARS-CoV-2 main protease (Mpro). Filtration process of the database was conducted using three levels of accuracy for molecular docking calculations. The top 35 drugs with docking scores > -11.0 kcal/mol were then subjected to 10 ns molecular dynamics (MD) simulations followed by molecular mechanics-generalized Born surface area (MM-GBSA) binding energy calculations. The results showed that DB02388 and Cobicistat (DB09065) exhibited potential binding affinities towards Mpro over 100 ns MD simulations, with binding energy values of -49.67 and -46.60 kcal/mol, respectively. Binding energy and structural analyses demonstrated the higher stability of DB02388 over Cobicistat. The potency of DB02388 and Cobicistat is attributed to their abilities to form several hydrogen bonds with the essential amino acids inside the active site of Mpro. Compared to DB02388 and Cobicistat, Darunavir showed a much lower binding affinity of -34.83 kcal/mol. The present study highlights the potentiality of DB02388 and Cobicistat as anti-COVID-19 drugs for clinical trials. Communicated by Ramaswamy H. Sarma.
| S-EPMC7441803 | biostudies-literature
Project description:Considering the urgent need for novel therapeutics in ongoing COVID-19 pandemic, drug repurposing approach might offer rapid solutions comparing to de novo drug design. In this study, we designed an integrative in silico drug repurposing approach for rapid selection of potential candidates against SARS-CoV-2 Main Protease (Mpro ). To screen FDA-approved drugs, we implemented structure-based molecular modelling techniques, physiologically-based pharmacokinetic (PBPK) modelling of drugs disposition and data mining analysis of drug-gene-COVID-19 association. Through presented approach, we selected the most promising FDA approved drugs for further COVID-19 drug development campaigns and analysed them in context of available experimental data. To the best of our knowledge, this is unique in silico study which integrates structure-based molecular modeling of Mpro inhibitors with predictions of their tissue disposition, drug-gene-COVID-19 associations and prediction of pleiotropic effects of selected candidates.
| S-EPMC8250230 | biostudies-literature
Project description:The SARS-CoV-2 outbreak caused an unprecedented global public health threat, having a high transmission rate with currently no drugs or vaccines approved. An alternative powerful additional approach to counteract COVID-19 is in silico drug repurposing. The SARS-CoV-2 main protease is essential for viral replication and an attractive drug target. In this study, we used the virtual screening protocol with both long-range and short-range interactions to select candidate SARS-CoV-2 main protease inhibitors. First, the Informational spectrum method applied for small molecules was used for searching the Drugbank database and further followed by molecular docking. After in silico screening of drug space, we identified 57 drugs as potential SARS-CoV-2 main protease inhibitors that we propose for further experimental testing.
| S-EPMC7503980 | biostudies-literature
Project description:Background and aimsSevere Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) induced Novel Coronavirus Disease (COVID-19) has currently become pandemic worldwide. Though drugs like remdesivir, favipiravir, and dexamethasone found beneficial for COVID-19 management, they have limitations clinically, and vaccine development takes a long time. The researchers have reported key proteins which could act as druggable targets. Among them, the major protease Mpro is first published, plays a prominent role in viral replication and an attractive drug-target for drug discovery. Hence, to target Mpro and inhibit it, we accomplished the virtual screening of US-FDA approved drugs using well-known drug repurposing approach by computer-aided tools.MethodsThe protein Mpro, PDB-ID 6LU7 was imported to Maestro graphical user interphase of Schrödinger software. The US-FDA approved drug structures are imported from DrugBank and docked after preliminary protein and ligand preparation. The drugs are shortlisted based on the docking scores in the Standard Precision method (SP-docking) and then based on the type of molecular interactions they are studied for molecular dynamics simulations.ResultsThe docking and molecular interactions studies, five drugs emerged as potential hits by forming hydrophilic, hydrophobic, electrostatic interactions. The drugs such as arbutin, terbutaline, barnidipine, tipiracil and aprepitant identified as potential hits. Among the drugs, tipiracil and aprepitant interacted with the Mpro consistently, and they turned out to be most promising.ConclusionsThis study shows the possible exploration for drug repurposing using computer-aided docking tools and the potential roles of tipiracil and aprepitant, which can be explored further in the treatment of COVID-19.
| S-EPMC7498210 | biostudies-literature
Project description:Brazilein sappan wood, played by Spike (S) glycoprotein, Papain-Like proteinase (PLpro), and Main protease (Mpro), is expected to be a candidate for the antiviral drug SARS-CoV-2, which can inhibit viral attachment to the human body, replication, and transcription processes. The aim of this study was to predict in silico, using the comparative drug hydroxychloroquine, the working goal of brazilein sappan wood as a candidate for the antiviral drug SARS-CoV-2 against protein S, PLpro, and Mpro. The approach used is the in silico docking test using the computer program Molegro Virtual Docker. Receptor used by protein S, Protein Data Bank (PDB) code: 6M0J, NAG_601[E] ligand; PLpro, PDB code: 7JIT, Y95_501[A] ligand; and Mpro, PDB code: 1WOF, I12_1145[A] ligand. Data analysis was carried out by comparing the docking bond energies between the ligands at the target receptor. Silico test results for protein S: ligand bond energy NAG_601 [E] = -59.4555, brazilein = -71.5537, hydroxychloroquine = -79.3704; PLpro protein: Ligand bond energy Y95_501 [A] = -129.561, brazilein = -94.9761, hydroxychloroquine = -100.984; Mpro protein: Ligand bond energy I12 1145 [A] = -141.135, brazilein = -96.6169, hydroxychloroquine = -104.88. The above test results indicate that brazilein sappan wood has potential as a SARS-CoV-2 drug candidate, has a stable bond, and that the biological activity of the compound is stronger against S protein than the proteins of PLpro and Mpro.
| S-EPMC8300323 | biostudies-literature
Project description:Accepted 7 July 2020ABSTRACTSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus responsible for the known COVID-19 disease. Since currently no definitive therapies or vaccines for the SARS-CoV-2 virus are available, there is an urgent need to identify effective drugs against SARS-CoV-2 infection. One of the best-known targets available is the main protease of this virus, crucial for the processing of polyproteins codified by viral RNA. In this work, we used a computational virtual screening procedure for the repurposing of commercial drugs available in the DrugBank database as inhibitors of the SARS-CoV-2 main protease. Molecular docking calculations and molecular dynamics (MD) simulations have been applied. The computational model was validated through a self-docking procedure. The screening procedure highlighted five interesting drugs that showed a comparable or higher docking score compared to the crystallographic compound and maintained the protein binding during the MD runs. Amongst these drugs, Ritonavir has been used in clinical trials with patients affected by COVID-19 and Nelfinavir showed anti-SARS-CoV-2 activity. The five identified drugs could be evaluated experimentally as inhibitors of the SARS-CoV-2 main protease in view of a possible COVID-19 treatment. Communicated by Ramaswamy H. Sarma.
| S-EPMC7441760 | biostudies-literature