scholarly journals Repurposing FDA-Approved Drugs for COVID-19 Using a Data-Driven Approach

2020 ◽  
Author(s):  
Rodrigo R. R. Duarte ◽  
Dennis C. Copertino Jr. ◽  
Luis P. Iñiguez ◽  
Jez L. Marston ◽  
Douglas F. Nixon ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Drug Repositioning ◽  
Data Driven ◽  
Transcriptional Signature ◽  
Lung Carcinoma Cells ◽  
Main Protease ◽  
Data Driven Approach ◽  
Approved Drugs ◽  
Fda Approved Drugs

<p>There have been more than 116,000 recorded deaths worldwide to-date caused by the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), the etiological agent of the Coronavirus Disease 2019 (COVID-19), and over 1.8 million individuals are currently infected. Although there are now hundreds of clinical trials for COVID-19, there are currently no effective licensed treatments, while the numbers of infected individuals continue to rise at an exponential rate in many parts of the world. Here, we used a data-driven approach utilizing connectivity mapping and the transcriptional signature of lung carcinoma cells infected with SARS-CoV-2, to search for drugs across the spectrum of medicine that have repurposing potential for treating COVID-19. We also performed chemoinformatic analyses to test whether the identified compounds were predicted to physically interact with the SARS-CoV-2 RNA-dependent RNA polymerase or main protease enzymes. Our study identified commonly prescribed FDA-approved molecules as important candidates for drug repositioning against COVID-19, including flupentixol, reserpine, fluoxetine, trifluoperazine, sunitinib, atorvastatin, raloxifene, butoconazole, and metformin. These drugs should not be taken for treating or preventing COVID-19 without a doctor’s advice, as further research and clinical trials are now needed to elucidate their efficacy for this purpose.</p>

scholarly journals Repurposing FDA-Approved Drugs for COVID-19 Using a Data-Driven Approach

2020 ◽  
Author(s):  
Rodrigo R. R. Duarte ◽  
Dennis C. Copertino Jr. ◽  
Luis P. Iñiguez ◽  
Jez L. Marston ◽  
Douglas F. Nixon ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Drug Repositioning ◽  
Data Driven ◽  
Transcriptional Signature ◽  
Lung Carcinoma Cells ◽  
Main Protease ◽  
Data Driven Approach ◽  
Approved Drugs ◽  
Fda Approved Drugs

<p>There have been more than 116,000 recorded deaths worldwide to-date caused by the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), the etiological agent of the Coronavirus Disease 2019 (COVID-19), and over 1.8 million individuals are currently infected. Although there are now hundreds of clinical trials for COVID-19, there are currently no effective licensed treatments, while the numbers of infected individuals continue to rise at an exponential rate in many parts of the world. Here, we used a data-driven approach utilizing connectivity mapping and the transcriptional signature of lung carcinoma cells infected with SARS-CoV-2, to search for drugs across the spectrum of medicine that have repurposing potential for treating COVID-19. We also performed chemoinformatic analyses to test whether the identified compounds were predicted to physically interact with the SARS-CoV-2 RNA-dependent RNA polymerase or main protease enzymes. Our study identified commonly prescribed FDA-approved molecules as important candidates for drug repositioning against COVID-19, including flupentixol, reserpine, fluoxetine, trifluoperazine, sunitinib, atorvastatin, raloxifene, butoconazole, and metformin. These drugs should not be taken for treating or preventing COVID-19 without a doctor’s advice, as further research and clinical trials are now needed to elucidate their efficacy for this purpose.</p>

scholarly journals Identifying FDA-approved drugs with multimodal properties against COVID-19 using a data-driven approach and a lung organoid model of SARS-CoV-2 entry

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Rodrigo R. R. Duarte ◽  
Dennis C. Copertino ◽  
Luis P. Iñiguez ◽  
Jez L. Marston ◽  
Yaron Bram ◽  
...  
Keyword(s):  
Clinical Studies ◽  
Combined Treatment ◽  
Developed Countries ◽  
Data Driven ◽  
In Vitro Tests ◽  
Protective Effects ◽  
Data Driven Approach ◽  
Approved Drugs ◽  
Fda Approved Drugs

Abstract Background Vaccination programs have been launched worldwide to halt the spread of COVID-19. However, the identification of existing, safe compounds with combined treatment and prophylactic properties would be beneficial to individuals who are waiting to be vaccinated, particularly in less economically developed countries, where vaccine availability may be initially limited. Methods We used a data-driven approach, combining results from the screening of a large transcriptomic database (L1000) and molecular docking analyses, with in vitro tests using a lung organoid model of SARS-CoV-2 entry, to identify drugs with putative multimodal properties against COVID-19. Results Out of thousands of FDA-approved drugs considered, we observed that atorvastatin was the most promising candidate, as its effects negatively correlated with the transcriptional changes associated with infection. Atorvastatin was further predicted to bind to SARS-CoV-2’s main protease and RNA-dependent RNA polymerase, and was shown to inhibit viral entry in our lung organoid model. Conclusions Small clinical studies reported that general statin use, and specifically, atorvastatin use, are associated with protective effects against COVID-19. Our study corroborrates these findings and supports the investigation of atorvastatin in larger clinical studies. Ultimately, our framework demonstrates one promising way to fast-track the identification of compounds for COVID-19, which could similarly be applied when tackling future pandemics.

Some FDA Approved drugs exhibit binding affinity as high as -16.0 kcal/mol against COVID-19 Main Protease (Mpro): A Molecular Docking Study

2020 ◽  
Author(s):  
Shanmuga Subramanian
Keyword(s):  
Clinical Trials ◽  
Molecular Docking ◽  
Antiviral Agent ◽  
Binding Energies ◽  
In Vitro Tests ◽  
Molecular Docking Study ◽  
Main Protease ◽  
Approved Drugs ◽  
Fda Approved Drugs

Currently the new Coronavirus "COVID-19", also known as SARS-CoV-2, has infected nearly 3 million patients and nearly 200,000+ people have lost their lives due to this pandemic. There is an urgent need to find an antiviral agent that may slow down the spread of the virus. The aim of this study is to assess and evaluate some FDA Approved drugs as potential inhibitors for COVID-19 Main Protease (Mpro) (PDB code: 6LU7). This will be done by blind molecular docking using PyRx and Auto Vina software. The compounds Hydroxychloroquine and Remdesivir were used for comparative study. The binding energies obtained from the docking of 6LU7 with Midostaurin, Zafirlukast, Eluxadoline, Naldemedine, Netupitant, Pancuronium, Letermovir, Baloxavir marboxil, Tazemetostat, Telotristat ethyl, Zeaxanthin, Lutein, Deserpidine, Cefotetan, Procaine benzylpenicillin were -16, 15.6, -15.3, -15.2, -15.1, -14.8, -14.6, -14.5, -13.8, -13.2, -13.2, -12.4, -12.4 and -11.2 kcal/mol respectively . Therefore some of the drugs can be used in Clinical trials as they are purified compounds of known composition and among all of them are approved drugs,some of them are investigative drugs except Pancuronium. All these drugs should be evaluated for further use by conducting in vitro tests and if they are successful they should evaluated for further use in clinical trials against COVID-19 as they are readily available in the market.

Molecular Docking suggests repurposing of Brincidofovir as a potential drug targeting SARS-CoV-2 "COVID-19" ACE2 receptor and main protease

2020 ◽  
Author(s):  
Mostafa A. Hussien ◽  
Ahmed E.M. Abdelaziz
Keyword(s):  
Clinical Trials ◽  
Molecular Docking ◽  
Ether Lipid ◽  
Respiratory Disorder ◽  
Main Protease ◽  
Life Threatening ◽  
Current Outbreak ◽  
Lipid Ester ◽  
Approved Drugs ◽  
Fda Approved Drugs

Abstract The current outbreak of the highly transmittable and life-threatening treme intense respiratory disorder coronavirus 2 (SARS-CoV-2) has advanced rapidly and posed a global health emergency. Many clinical trials are now being conducted to test possible therapies. To assist, the molecular docking was applied on some selected FDA-approved drugs, previously used in epidemics, and the top ten compounds were selected. These ten well-characterized drugs, previously used to treat Malaria and Ebola infections, were screened based on their interactions with the SARS-CoV-2 ACE2 Receptor and 3C-like Protease. Compared to the other nine medicines, Brincidofovir, an ether lipid ester analog of cidofovir with potent antiviral activity, showed the highest docking scores and binding interactions. Therefore, Brincidofovir worth further investigations and clinical trials as a possible therapeutic agent for the COVID-19 disease .

scholarly journals Identification of 3-chymotrypsin like protease (3CLPro) inhibitors as potential anti-SARS-CoV-2 agents

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Vicky Mody ◽  
Joanna Ho ◽  
Savannah Wills ◽  
Ahmed Mawri ◽  
Latasha Lawson ◽  
...  
Keyword(s):  
Inhibitory Effect ◽  
Dynamics Simulation ◽  
Simulation Studies ◽  
Inhibitory Effects ◽  
Major Threat ◽  
Main Protease ◽  
Approved Drugs ◽  
Fda Approved Drugs ◽  
Computational Molecular Modeling

AbstractEmerging outbreak of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection is a major threat to public health. The morbidity is increasing due to lack of SARS-CoV-2 specific drugs. Herein, we have identified potential drugs that target the 3-chymotrypsin like protease (3CLpro), the main protease that is pivotal for the replication of SARS-CoV-2. Computational molecular modeling was used to screen 3987 FDA approved drugs, and 47 drugs were selected to study their inhibitory effects on SARS-CoV-2 specific 3CLpro enzyme in vitro. Our results indicate that boceprevir, ombitasvir, paritaprevir, tipranavir, ivermectin, and micafungin exhibited inhibitory effect towards 3CLpro enzymatic activity. The 100 ns molecular dynamics simulation studies showed that ivermectin may require homodimeric form of 3CLpro enzyme for its inhibitory activity. In summary, these molecules could be useful to develop highly specific therapeutically viable drugs to inhibit the SARS-CoV-2 replication either alone or in combination with drugs specific for other SARS-CoV-2 viral targets.

scholarly journals Improving the management of type 2 diabetes through large-scale general practice: the role of a data-driven and technology-enabled education programme

2021 ◽  
Vol 10 (1) ◽  
pp. e001087
Author(s):  
Tarek F Radwan ◽  
Yvette Agyako ◽  
Alireza Ettefaghian ◽  
Tahira Kamran ◽  
Omar Din ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Large Scale ◽  
Education Programme ◽  
Educational Programme ◽  
Data Driven ◽  
Treatment Targets ◽  
Care Processes ◽  
Data Driven Approach

A quality improvement (QI) scheme was launched in 2017, covering a large group of 25 general practices working with a deprived registered population. The aim was to improve the measurable quality of care in a population where type 2 diabetes (T2D) care had previously proved challenging. A complex set of QI interventions were co-designed by a team of primary care clinicians and educationalists and managers. These interventions included organisation-wide goal setting, using a data-driven approach, ensuring staff engagement, implementing an educational programme for pharmacists, facilitating web-based QI learning at-scale and using methods which ensured sustainability. This programme was used to optimise the management of T2D through improving the eight care processes and three treatment targets which form part of the annual national diabetes audit for patients with T2D. With the implemented improvement interventions, there was significant improvement in all care processes and all treatment targets for patients with diabetes. Achievement of all the eight care processes improved by 46.0% (p<0.001) while achievement of all three treatment targets improved by 13.5% (p<0.001). The QI programme provides an example of a data-driven large-scale multicomponent intervention delivered in primary care in ethnically diverse and socially deprived areas.

scholarly journals Transkingdom interactions between Lactobacilli and hepatic mitochondria attenuate western diet-induced diabetes

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Richard R. Rodrigues ◽  
Manoj Gurung ◽  
Zhipeng Li ◽  
Manuel García-Jaramillo ◽  
Renee Greer ◽  
...  
Keyword(s):  
Functional Role ◽  
Reduced Glutathione ◽  
Western Diet ◽  
Data Driven ◽  
Data Driven Approach ◽  
Probiotic Strains ◽  
Host Metabolism ◽  
Harmful Effects

AbstractWestern diet (WD) is one of the major culprits of metabolic disease including type 2 diabetes (T2D) with gut microbiota playing an important role in modulating effects of the diet. Herein, we use a data-driven approach (Transkingdom Network analysis) to model host-microbiome interactions under WD to infer which members of microbiota contribute to the altered host metabolism. Interrogation of this network pointed to taxa with potential beneficial or harmful effects on host’s metabolism. We then validate the functional role of the predicted bacteria in regulating metabolism and show that they act via different host pathways. Our gene expression and electron microscopy studies show that two species from Lactobacillus genus act upon mitochondria in the liver leading to the improvement of lipid metabolism. Metabolomics analyses revealed that reduced glutathione may mediate these effects. Our study identifies potential probiotic strains for T2D and provides important insights into mechanisms of their action.

scholarly journals Targeting SARS-CoV-2 Polymerase with New Nucleoside Analogues

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3461
Author(s):  
Vasiliki Daikopoulou ◽  
Panagiotis Apostolou ◽  
Sofia Mourati ◽  
Ioanna Vlachou ◽  
Maria Gougousi ◽  
...  
Keyword(s):  
Inhibitory Activity ◽  
Drug Repositioning ◽  
Nucleoside Analogues ◽  
In Vitro Assays ◽  
Rna Dependent Rna Polymerase ◽  
Sugar Moiety ◽  
The Family ◽  
Approved Drugs ◽  
Fda Approved Drugs

Despite the fact that COVID-19 vaccines are already available on the market, there have not been any effective FDA-approved drugs to treat this disease. There are several already known drugs that through drug repositioning have shown an inhibitory activity against SARS-CoV-2 RNA-dependent RNA polymerase. These drugs are included in the family of nucleoside analogues. In our efforts, we synthesized a group of new nucleoside analogues, which are modified at the sugar moiety that is replaced by a quinazoline entity. Different nucleobase derivatives are used in order to increase the inhibition. Five new nucleoside analogues were evaluated with in vitro assays for targeting polymerase of SARS-CoV-2.

scholarly journals PS4DR: A multimodal workflow for identification and prioritization of drugs based on pathway signatures

2020 ◽  
Author(s):  
Mhammad Asif Emon ◽  
Daniel Domingo-Fernández ◽  
Charles Tapley Hoyt ◽  
Martin Hofmann-Apitius
Keyword(s):  
Gene Expression ◽  
Genome Wide Association Study ◽  
Drug Repositioning ◽  
Heterogeneous Data ◽  
New Drugs ◽  
Gwas Data ◽  
Drug Candidates ◽  
Gene Expression Signatures ◽  
Approved Drugs ◽  
Fda Approved Drugs

Abstract Background: During the last decade, there has been a surge towards computational drug repositioning owing to constantly increasing -omics data in the biomedical research field. While numerous existing methods focus on the integration of heterogeneous data to propose candidate drugs, it is still challenging to substantiate their results with mechanistic insights of these candidate drugs. Therefore, there is a need for more innovative and efficient methods which can enable better integration of data and knowledge for drug repositioning. Results: Here, we present a customizable workflow ( PS4DR) which not only integrates high-throughput data such as genome-wide association study (GWAS) data and gene expression signatures from disease and drug perturbations but also takes pathway knowledge into consideration to predict drug candidates for repositioning. We have collected and integrated publicly available GWAS data and gene expression signatures for several diseases and hundreds of FDA-approved drugs or those under clinical trial in this study. Additionally, different pathway databases were used for mechanistic knowledge integration in the workflow. Using this systematic consolidation of data and knowledge, the workflow computes pathway signatures that assist in the prediction of new indications for approved and investigational drugs. Conclusion: We showcase PS4DR with applications demonstrating how this tool can be used for repositioning and identifying new drugs as well as proposing drugs that can simulate disease dysregulations. We were able to validate our workflow by demonstrating its capability to predict FDA-approved drugs for their known indications for several diseases. Further, PS4DR returned many potential drug candidates for repositioning that were backed up by epidemiological evidence extracted from scientific literature. Source code is freely available at https://github.com/ps4dr/ps4dr .

scholarly journals Screening of FDA Approved Drugs Against COVID-19 Main Protease: Coronavirus Disease

2020 ◽  
Author(s):  
Vijayakumar Balakrishnan ◽  
Karthik Lakshminarayanan
Keyword(s):  
Vaccine Development ◽  
New Drugs ◽  
World Health ◽  
Wuhan City ◽  
Drug Candidates ◽  
Human Contact ◽  
Main Protease ◽  
Potent Drug ◽  
Approved Drugs ◽  
Fda Approved Drugs

In the end of December 2019, a new strain of coronavirus was identified in the Wuhan city of Hubei province in China. Within a shorter period of time, an unprecedented outbreak of this strain was witnessed over the entire Wuhan city. This novel coronavirus strain was later officially renamed as COVID-19 (Coronavirus disease 2019) by the World Health Organization. The mode of transmission had been found to be human-to-human contact and hence resulted in a rapid surge across the globe where more than 1,100,000 people have been infected with COVID-19. In the current scenario, finding potent drug candidates for the treatment of COVID-19 has emerged as the most challenging task for clinicians and researchers worldwide. Identification of new drugs and vaccine development may take from a few months to years based on the clinical trial processes. To overcome the several limitations involved in identifying and bringing out potent drug candidates for treating COVID-19, in the present study attempts were made to screen the FDA approved drugs using High Throughput Virtual Screening (HTVS). The COVID-19 main protease (COVID-19 Mpro) was chosen as the drug target for which the FDA approved drugs were initially screened with HTVS. The drug candidates that exhibited favorable docking score, energy and emodel calculations were further taken for performing Induced Fit Docking (IFD) using Schrodinger&rsquo;s GLIDE. From the flexible docking results, the following four FDA approved drugs Sincalide, Pentagastrin, Ritonavir and Phytonadione were identified. In particular, Sincalide and Pentagastrin can be considered potential key players for the treatment of COVID-19 disease.

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