scholarly journals In silico screening of FDA approved drugs reveals ergotamine and dihydroergotamine as potential coronavirus main protease enzyme inhibitors

2020 ◽  
Vol 27 (10) ◽  
pp. 2674-2682
Author(s):  
Arun Bahadur Gurung ◽  
Mohammad Ajmal Ali ◽  
Joongku Lee ◽  
Mohammad Abul Farah ◽  
Khalid Mashay Al-Anazi
2021 ◽  
Author(s):  
Mahmoud Ahmed ◽  
Ayman Farag ◽  
Ian N. Boys ◽  
Ping Wang ◽  
Jennifer L. Eitson ◽  
...  

Given the continuing heavy toll of the COVID-19 pandemic, therapeutic options for treatment are urgently needed. Here, we adopted a repositioning approach using in silico molecular modeling to screen FDA-approved drugs with established safety profiles for potential inhibitory effects against SARS-CoV-2. We used structure-based drug design to screen more than 2000 FDA approved drugs against SARS-CoV-2 main protease enzyme (Mpro) substrate-binding pocket. We additionally screened the top hits from both sites for potential covalent binding via nucleophilic thiol attack of Cys 145. High-scoring candidates were then screened for antiviral activity against infectious SARS-CoV-2 in a cell-based viral replication assay, and counter screened for toxicity. Promising candidates included atovaquone, mebendazole, ouabain, dronedarone, and entacapone, although atovaquone and mebendazole were the only two candidates with IC50s that fall within their therapeutic plasma concentration. In addition, we performed Mpro assays on the top hits, which demonstrated inhibition of Mpro by dronedarone (IC50 18 M), mebendazole (IC50 19 M) and entacapone (IC50 9 M). Atovaquone showed only modest Mpro inhibition, and thus we explored other potential antiviral mechanisms. Although atovaquone is a known DHODH inhibitor, we did not observe inhibition of DHODH by atovaquone at concentrations relevant to the SARS-CoV-2 IC50. Interestingly, metabolomic profiling of atovaquone treated cells demonstrated marked dysregulation of metabolites in the purine metabolism pathway. In summary, a number of our top hits from the in-silico screen demonstrated Mpro inhibitory activity associated with antiviral effects. Atovaquone and mebendazole are the most promising candidates targeting SARS-CoV-2 from our screen, however atovaquone did not significantly inhibit Mpro at therapeutically meaningful concentrations but may inhibit SARS-CoV-2 viral replication by targeting host purine metabolism.


Author(s):  
Ayman Farag ◽  
Ping Wang ◽  
Ian N. Boys ◽  
Jennifer L. Eitson ◽  
Maikke B. Ohlson ◽  
...  

<p>The newly emerged coronavirus, SARS-CoV-2, and the resulting COVID-19 disease, has spread swiftly across the globe since its initial detection in December 2019. Given the heavy toll of this pandemic, therapeutic options for treatment are urgently needed. Here, we adopted a repositioning approach using in-silico molecular modeling to screen FDA-approved drugs with established safety profiles for potential inhibitory effects against SARS-CoV-2. We used structure-based drug design to screen more than 2000 FDA approved drugs against SARS-CoV-2 main protease enzyme (Mpro) substrate-binding pocket, focusing on two potential sites (central and terminal sites) to identify hits based on their binding energies, binding modes, interacting amino acids, and therapeutic indications. We additionally screened the top hits from both sites for potential covalent binding via nucleophilic thiol attack of Cys 145. High-scoring candidates were then screened for antiviral activity against infectious SARS-CoV-2 in a cell-based viral replication assay, and counterscreened for toxicity. Atovaquone, Mebendazole, and Ouabain exhibited antiviral efficacy with IC50s well within their respective therapeutic plasma concentrations (low nanomolar to low micromolar range), and limited toxic effects. Notably, all three were predicted in docking studies to covalently bind SARS-CoV-2 Mpro, underscoring the utility of this in-silico approach for identifying putative antivirals for repurposing. These results do not confirm efficacy in animal models or in humans, but rather serve as a starting point for testing the antiviral potential of select FDA-approved drugs, either individually or in combination.<br></p>


Author(s):  
Mohammad A. Elmorsy ◽  
Ahmed M. El-Baz ◽  
Nashwa H. Mohamed ◽  
Rafa Almeer ◽  
Mohamed M. Abdel-Daim ◽  
...  

Author(s):  
Birgit Strodel ◽  
Olujide Olubiyi ◽  
Maryam Olagunju ◽  
Monika Keutmann ◽  
Jennifer Loschwitz

We use state-of-the-art computer-aided drug design (CADD) techniques to identify prospective inhibitors of the main protease enzyme, Mpro of the COVID-19 virus. With the high-resolution X-ray crystallography structure of this viral enzyme recently being solved, CADD provides a veritable tool for rapidly screening diverse sets of compounds with the aim of identifying ligands capable of forming energetically favorable complexes with Mpro . From our screening of 1,082,653 compounds derived from the ZINC, the DrugBank, and our in-house African natural product libraries, and a rescreening protocol incorporating enzyme dynamics via ensemble docking, we have been able to identify a range of prospective Mpro inhibitors, which include FDA-approved drugs, drug candidates in clinical trials, as well as natural products. The top-ranking compounds are characterized by the presence of an extended ring system combined with functional groups that allow the ligands to adapt flexibly to the Mpro active site as, for example, present in the biflavonoid amentoflavone, one of the most promising compounds identified here. This particular chemical architecture leads to considerable stronger binding than found for reference compounds with in vitro demonstrated M pro inhibition and anticoronavirus activity. The compounds determined in this work thus represent a good starting point for the design of inhibitors of SARS-CoV-2 replication.


2020 ◽  
Author(s):  
Nemanja Djokovic ◽  
Dusan Ruzic ◽  
Teodora Djikic ◽  
Sandra Cvijic ◽  
Jelisaveta Ignjatovic ◽  
...  

<div><b>Aims</b>: An infectious disease (COVID-19) caused by the coronavirus SARS-CoV-2 emerged in Wuhan, China in December 2019. Currently, SARS-CoV-2 infected more than 9 million people and caused more than 450 000 deaths. Considering the urgent need for novel therapeutics, drug repurposing approach might offer rapid solutions comparing to de novo drug design. In this study, we investigated an integrative in silico drug repurposing approach as a valuable tool for rapid selection of potential candidates against SARS-CoV-2 Main Protease (Mpro).</div><div><br></div><div><b>Main methods:</b> To screen FDA-approved drugs, we designed an integrative in silico drug repurposing approach implementing structure-based molecular modelling techniques, physiologically-based pharmacokinetic (PBPK) modelling of drugs disposition and data-mining analysis of drug-gene-COVID-19 association.</div><div><br></div><div><b>Key findings:</b> Through the presented approach, 43 candidates with potential inhibitory effect on Mpro were selected and further evaluated according to the predictions of tissue disposition, drug-gene-COVID-19 associations and potential pleiotropic effects. We singled out 9 FDA approved drugs as the most promising for their profiling in COVID-19 drug discovery campaigns. Our results were in agreement with current experimental findings, which validate the applied integrative approach and may support clinical decisions for a novel epidemic wave of COVID-19.</div><div><br></div><div><b>Significance:</b> To the best of our knowledge, this is the first integrative in silico repurposing study for COVID-19 with a clear advantage in linking structure-based molecular modeling of Mpro inhibitors with predictions of tissue disposition, drug-gene-COVID-19 associations and prediction of pleiotropic effects of selected candidates.</div>


Author(s):  
Vipul Kumar ◽  
Sudhakar Kancharla ◽  
Manoj Kumar Jena

Since the outbreak of severe acute respiratory syndrome corona Virus -2 (SARS-CoV-2) has happened in December 2019 in Wuhan, China, the cases of novel coronavirus disease (COVID-19) is rapidly increasing worldwide. In the absence of specific drugs against COVID-19, the fast and reliable choice would be repurposing of existing drugs. Here, we have chosen one of the crucial enzymes of the SARS-CoV-2, Papain like protease (PLpro) and its mutant C111S for the structure-based in-silico screening of the FDA approved drugs. Firstly, the alignment of the wild type and mutant PLpro was done, and no significant change in the global structure was observed. Then based on the docking study, we have reported the best 3 compounds against a mutant and wild type PLpro. These lead compounds include amikacin and mafenide, which are well-known antibiotics. The binding affinity, as well as number of polar and non-polar interactions, indicates their potential against the PLpro. This computational study strongly suggests the experimental validations of the predicted compounds for a confident claim.


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