New Drug Repositioning Candidates for T-ALL Identified Via Human/Murine Gene Signature Comparison.

Front Oncol. 2020;10:557643

Authors: Bonnet R, Nebout M, Brousse C, Reinier F, Imbert V, Rohrlich PS, Peyron JF

Abstract
T-cell Acute Lymphoblastic Leukemia (T-ALL) is an aggressive subtype of leukemia for which important progress in treatment efficiency have been made in the past decades to reach a cure rate of 75%-80% nowadays. It is nevertheless mandatory to find new targets and active molecules for innovative therapeutic strategies as relapse is associated with a very dismal outcome. We designed an experimental workflow to highlight the conserved core pathways associated with leukemogenesis by confronting the gene expression profiles (GEPs) of human T-ALL cases to the GEP of a murine T-ALL representative model, generated by the conditional deletion of the PTEN tumor suppressor gene in T cell precursors (tPTEN-/-). We identified 844 differentially expressed genes, common GEPs (cGEP) that were conserved between human T-ALL and murine signatures, and also similarly differentially expressed, compared to normal T cells. Using bioinformatic tools we highlighted in cGEPan upregulation of E2F, MYC and mTORC1. Next, using Connectivity Map (CMAP) and CMAPViz a visualization procedure for CMAP data that we developed, we selected in silico three FDA-approved, bioactive molecule candidates: α-estradiol (α-E), nordihydroguaiaretic acid (NDGA) and prochlorperazine dimaleate (PCZ). At a biological level, we showed that the three drugs triggered an apoptotic cell death in a panel of T-ALL cell lines, activated a DNA damage response and interfered with constitutive mTORC1 activation and c-MYC expression. This analysis shows that the investigation of conserved leukemogenesis pathways could be a strategy to reveal new avenues for pharmacological intervention.

PMID: 33240808 [PubMed]

Challenges for Drug Repurposing in the COVID-19 Pandemic Era.

Front Pharmacol. 2020;11:588654

Authors: Sultana J, Crisafulli S, Gabbay F, Lynn E, Shakir S, Trifirò G

Abstract
The coronavirus disease (COVID-19) pandemic has affected an estimated 16 million persons and caused 0.6 million deaths worldwide by September 2020. The pandemic has led to a rush to repurpose existing drugs, although the underlying evidence base is of variable quality. The improving knowledge of the virology and clinical presentation of COVID-19 is leading to a broadening pool of potential pharmacological targets. The aim of this review is to describe regulatory and pharmacological aspects of drug repurposing and to identify drugs proposed for repurposing in COVID-19 based on registered clinical trials, discussing the evidence to support their use in the treatment of this disease. The challenges of the correct interpretation of existing pre-clinical/clinical evidence as well as the generation of new evidence concerning drug repurposing in COVID-19 will also be discussed. Clinical Trial Registration: https://clinicaltrials.gov, identifier NCT04321174, NCT04342663, NCT04280705, NCT04244591, NCT04359329, NCT04348695, NCT04304313, NCT043505931.

PMID: 33240091 [PubMed]

Drug Repurposing Approaches to Combating Viral Infections.

J Clin Med. 2020 Nov 23;9(11):

Authors: Trivedi J, Mohan M, Byrareddy SN

Abstract
Development of novel antiviral molecules from the beginning costs an average of $350 million to $2 billion per drug, and the journey from the laboratory to the clinic takes about 10-15 years. Utilization of drug repurposing approaches has generated substantial interest in order to overcome these drawbacks. A drastic reduction in the failure rate, which otherwise is ~92%, is achieved with the drug repurposing approach. The recent exploration of the drug repurposing approach to combat the COVID-19 pandemic has further validated the fact that it is more beneficial to reinvestigate the in-practice drugs for a new application instead of designing novel drugs. The first successful example of drug repurposing is zidovudine (AZT), which was developed as an anti-cancer agent in the 1960s and was later approved by the US FDA as an anti-HIV therapeutic drug in the late 1980s after fast track clinical trials. Since that time, the drug repurposing approach has been successfully utilized to develop effective therapeutic strategies against a plethora of diseases. Hence, an extensive application of the drug repurposing approach will not only help to fight the current pandemics more efficiently but also predict and prepare for newly emerging viral infections. In this review, we discuss in detail the drug repurposing approach and its advancements related to viral infections such as Human Immunodeficiency Virus (HIV) and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2).

PMID: 33238464 [PubMed]

Repurposing Anti-Cancer Drugs for COVID-19 Treatment.

Drug Des Devel Ther. 2020;14:5045-5058

Authors: Borcherding N, Jethava Y, Vikas P

Abstract
The novel coronavirus disease 2019 (COVID-19) pandemic has caused catastrophic damage to human life across the globe along with social and financial hardships. According to the Johns Hopkins University Coronavirus Resource Center, more than 41.3 million people worldwide have been infected, and more than 1,133,000 people have died as of October 22, 2020. At present, there is no available vaccine and a scarcity of efficacious therapies. However, there is tremendous ongoing effort towards identifying effective drugs and developing novel vaccines. Early data from Adaptive COVID-19 Treatment Trials (ACTT) sponsored by the National Institute of Allergy and Infectious Diseases (NIAID) and compassionate use study have shown promise for remdesivir, leading to emergency authorization by the Food and Drug Administration (FDA) for treatment of hospitalized COVID-19 patients. However, several randomized studies have now shown no benefit or increased adverse events associated with remdesivir treatment. Drug development is a time-intensive process and requires extensive safety and efficacy evaluations. In contrast, drug repurposing is a time-saving and cost-effective drug discovery strategy geared towards using existing drugs instead of de novo drug discovery. Treatments for cancer and COVID-19 often have similar goals of controlling inflammation, inhibiting cell division, and modulating the host microenvironment to control the disease. In this review, we focus on anti-cancer drugs that can potentially be repurposed for COVID-19 and are currently being tested in clinical trials.

PMID: 33239864 [PubMed - in process]

Application of Machine Learning Techniques in Drug-Target Interactions Prediction.

Curr Pharm Des. 2020 Nov 24;:

Authors: Zhang S, Wang J, Lin Z, Liang Y

Abstract
BACKGROUND: Drug-Target interactions are vital for drug design and drug repositioning. However, traditional lab experiments are both expensive and time-consuming. Various computational methods which applied machine learning techniques performed efficiently and effectively in the field.
RESULTS: The machine learning methods can be divided into three categories basically: Supervised methods, SemiSupervised methods and Unsupervised methods. We reviewed recent representative methods applying machine learning techniques of each category in DTIs and summarized a brief list of databases frequently used in drug discovery. In addition, we compared the advantages and limitations of these methods in each category.
CONCLUSION: Every prediction model has its both strengths and weaknesses and should be adopted in proper ways. Three major problems in DTIs prediction including the lack of nonreactive drug-target pairs data sets, overoptimistic results due to the biases and the exploiting of regression models on DTIs prediction should be seriously considered.

PMID: 33238865 [PubMed - as supplied by publisher]

6 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"drug repositioning" OR "drug repurposing"

These pubmed results were generated on 2020/11/26

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Drug repositioning as a therapeutic strategy for neurodegenerations associated with OPA1 mutations.

Hum Mol Genet. 2020 Nov 24;:

Authors: Aleo SJ, Del Dotto V, Fogazza M, Maresca A, Lodi T, Goffrini P, Ghelli A, Rugolo M, Carelli V, Baruffini E, Zanna C

Abstract
OPA1 mutations are the major cause of Dominant Optic Atrophy (DOA) and the syndromic form DOA plus, pathologies for which there is no established cure. We used a 'drug repurposing' approach to identify FDA-approved molecules able to rescue the mitochondrial dysfunctions induced by OPA1 mutations. We screened two different chemical libraries by using two yeast strains carrying the mgm1I322M and the chim3P646L mutations, identifying twenty-six drugs able to rescue their oxidative growth phenotype. Six of them, able to reduce the mitochondrial DNA (mtDNA) instability in yeast, have been then tested in Opa1 deleted mouse embryonic fibroblasts (MEFs) expressing the human OPA1 isoform 1 bearing the R445H and D603H mutations. Some of these molecules were able to ameliorate the energetic functions and/or the mitochondrial network morphology, depending on the type of OPA1 mutation. The final validation has been performed in patients' fibroblasts, allowing to select the most effective molecules. Our current results are instrumental to rapidly translating the findings of this drug repurposing approach into clinical trial for DOA and other neurodegenerations caused by OPA1 mutations.

PMID: 33231680 [PubMed - as supplied by publisher]

Molecular targets and system biology approaches for drug repurposing against SARS-CoV-2.

Bull Natl Res Cent. 2020;44(1):193

Authors: Singh RK, Yadav BS, Mohapatra TM

Abstract
Background: COVID-19, a pandemic declared by WHO, has infected about 39.5 million and killed about 1.1 million people throughout the world. There is the urgent need of more studies to identify the novel drug targets and the drug candidates against it to handle the situation.
Main body: To virtually screen various drugs against SARS-CoV-2, the scientists need the detail information about the various drug targets identified till date. The present review provides the information about almost all the drug targets, including structural and non-structural proteins of virus as well as host cell surface receptors, that can be used for virtual screening of drugs. Moreover, this review also focuses on the different network analysis tools that have been used for the identification of new drug targets and candidate repurposable drugs against SARS-CoV-2.
Conclusion: This review provides important insights of various drug targets and the network analysis tools to young bioinformaticians and will help in creating pace to the drug repurposing strategy for COVID-19 disease.

PMID: 33230386 [PubMed]

The Anti-Cancer Properties of the HIV Protease Inhibitor Nelfinavir.

Cancers (Basel). 2020 Nov 19;12(11):

Authors: Subeha MR, Telleria CM

Abstract
Traditional cancer treatments may lose efficacy following the emergence of novel mutations or the development of chemoradiotherapy resistance. Late diagnosis, high-cost of treatment, and the requirement of highly efficient infrastructure to dispense cancer therapies hinder the availability of adequate treatment in low-income and resource-limited settings. Repositioning approved drugs as cancer therapeutics may reduce the cost and timeline for novel drug development and expedite the availability of newer, efficacious options for patients in need. Nelfinavir is a human immunodeficiency virus (HIV) protease inhibitor that has been approved and is extensively used as an anti-infective agent to treat acquired immunodeficiency syndrome (AIDS). Yet nelfinavir has also shown anti-cancer effects in in vitro and in vivo studies. The anti-cancer mechanism of nelfinavir includes modulation of different cellular conditions, such as unfolded protein response, cell cycle, apoptosis, autophagy, the proteasome pathway, oxidative stress, the tumor microenvironment, and multidrug efflux pumps. Multiple clinical trials indicated tolerable and reversible toxicities during nelfinavir treatment in cancer patients, either as a monotherapy or in combination with chemo- or radiotherapy. Since orally available nelfinavir has been a safe drug of choice for both adult and pediatric HIV-infected patients for over two decades, exploiting its anti-cancer off-target effects will enable fast-tracking this newer option into the existing repertoire of cancer chemotherapeutics.

PMID: 33228205 [PubMed]

Rare-Earth Metal Complexes of the Antibacterial Drug Oxolinic Acid: Synthesis, Characterization, DNA/Protein Binding and Cytotoxicity Studies.

Molecules. 2020 Nov 19;25(22):

Authors: Maciuca AM, Munteanu AC, Mihaila M, Badea M, Olar R, Nitulescu GM, Munteanu CVA, Bostan M, Uivarosi V

Abstract
"Drug repositioning" is a current trend which proved useful in the search for new applications for existing, failed, no longer in use or abandoned drugs, particularly when addressing issues such as bacterial or cancer cells resistance to current therapeutic approaches. In this context, six new complexes of the first-generation quinolone oxolinic acid with rare-earth metal cations (Y3+, La3+, Sm3+, Eu3+, Gd3+, Tb3+) have been synthesized and characterized. The experimental data suggest that the quinolone acts as a bidentate ligand, binding to the metal ion via the keto and carboxylate oxygen atoms; these findings are supported by DFT (density functional theory) calculations for the Sm3+ complex. The cytotoxic activity of the complexes, as well as the ligand, has been studied on MDA-MB 231 (human breast adenocarcinoma), LoVo (human colon adenocarcinoma) and HUVEC (normal human umbilical vein endothelial cells) cell lines. UV-Vis spectroscopy and competitive binding studies show that the complexes display binding affinities (Kb) towards double stranded DNA in the range of 9.33 × 104 - 10.72 × 105. Major and minor groove-binding most likely play a significant role in the interactions of the complexes with DNA. Moreover, the complexes bind human serum albumin more avidly than apo-transferrin.

PMID: 33228104 [PubMed - in process]

Behavioral effects of the kappa opioid receptor partial agonist nalmefene in tests relevant to depression.

Eur J Pharmacol. 2020 Apr 05;872:172948

Authors: Browne CA, Smith T, Lucki I

Abstract
Compounds with high affinity at kappa and mu opioid receptors may have clinical utility in treating major depressive disorder. Nalmefene (NMF) is a partial kappa opioid receptor agonist and potent mu opioid receptor antagonist, but there has been no preclinical evaluation of NMF in rodent tests relevant to depression and anxiety. To address this, the effects of NMF on neurochemical and behavioral endpoints in C57BL/6J mice were examined and contrasted with a structurally related analog, naltrexone (NTX). NMF exhibited kappa opioid receptor agonist activity, measured as a reduction in extracellular dopamine release in the nucleus accumbens using in vivo microdialysis following acute but not chronic administration. In the mouse forced swim test, female mice were more responsive to higher doses of NMF and NTX compared to male mice. The behavioral effects of NMF in the forced swim test were blocked in Oprk1-/- and Oprm1-/- mice. Conversely, the effects of NTX were blocked only in Oprm1-/- mice. These results indicate that both kappa and mu opioid receptors mediate the behavioral effects of NMF, but the effects of NTX in this test were modified only by mu opioid receptor engagement. Unlike NTX, NMF did not produce conditioned place aversion in either sex. Finally, NMF's activity in the marble burying test and forced swim test were retained following chronic administration. The sustained effects exerted by NMF on tests that are sensitive to antidepressant and anxiolytic compounds support further investigation of NMF as a potential therapeutic for depression.

PMID: 31991139 [PubMed - indexed for MEDLINE]

8 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"drug repositioning" OR "drug repurposing"

These pubmed results were generated on 2020/11/24

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Revealing the anticancer potential of candidate drugs in vivo using Caenorhabditis elegans mutant strains.

Transl Oncol. 2020 Nov 19;14(1):100940

Authors: Medina PM, Ponce JM, Cruz CA

Abstract
Drug repurposing is used as a strategy for finding new drugs for cancer. The process is a faster and a more cost-effective way of providing new indications for drugs that can address emerging drug resistance and numerous side effects of chemotherapeutic drugs. In this study, the in vivo anticancer potential of itraconazole, disulfiram, etodolac, and ouabain were assessed using five different C. elegans mutant strains. Each strain contains mutations in genes involved in different signaling pathways such as Wnt (JK3476), Notch (JK1107 and BS3164), and Ras-ERK (SD939 and MT2124) that result to phenotypes of sterility, infertility, and multivulva formation. These same signaling pathways have been shown to be defective in several human cancer types. The four candidate drugs were tested on the C. elegans mutant strains to determine if they rescue the mutant phenotypes. Both ouabain and etodolac significantly reduced the sterile and infertile phenotypes of JK3476, JK1107, BS3164, and SD939 strains (p=0.0010). Finally, itraconazole and etodolac significantly reduced multivulva formation (p=0.0021). The degrees of significant phenotypic rescues of each mutant were significantly higher than vehicle only (1% DMSO). Therefore, this study demonstrated that the four candidate drugs have anticancer potential in vivo, and etodolac had the highest anticancer potential.

PMID: 33221682 [PubMed - as supplied by publisher]

Using artificial intelligence to identify anti-hypertensives as possible disease modifying agents in Parkinson's disease.

Pharmacoepidemiol Drug Saf. 2020 Nov 20;:

Authors: Visanji NP, Madan P, Lacoste AMB, Buleje I, Han Y, Spangler S, Kalia LV, Alford SH, Marras C

Abstract
PURPOSE: Drug repurposing is an effective means of increasing treatment options for diseases, however identifying candidate molecules for the indication of interest from the thousands of approved drugs is challenging. We have performed a computational analysis of published literature to rank existing drugs according to predicted ability to reduce alpha synuclein (aSyn) oligomerization and analyzed real-world data to investigate the association between exposure to highly ranked drugs and PD.
METHODS: Using IBM Watson for Drug Discoveryâ (WDD) we identified several antihypertensive drugs that may reduce aSyn oligomerization. Using IBM MarketScanâ Research Databases we constructed a cohort of individuals with incident hypertension. We conducted univariate and multivariate Cox proportional hazard analyses (HR) with exposure as a time-dependent covariate. Diuretics were used as the referent group. Age at hypertension diagnosis, sex, and several comorbidities were included in multivariate analyses.
RESULTS: Multivariate results revealed inverse associations for time to PD diagnosis with exposure to the combination of the combination of angiotensin receptor II blockers (ARBs) and dihydropyridine calcium channel blockers (DHP-CCB) (HR=0.55, p< 0.01) and angiotensin converting enzyme inhibitors (ACEi) and diuretics (HR=0.60, p-value <0.01). Increased risk was observed with exposure to alpha-blockers alone (HR=1.81, p<0.001) and the combination of alpha-blockers and CCB (HR=3.17, p <0.05).
CONCLUSIONS: We present evidence that a computational approach can efficiently identify leads for disease-modifying drugs. We have identified the combination of ARBs and DHP-CCBs as of particular interest in PD.

PMID: 33219601 [PubMed - as supplied by publisher]

Genomics of hypertension: the road to precision medicine.

Nat Rev Cardiol. 2020 Nov 20;:

Authors: Padmanabhan S, Dominiczak AF

Abstract
The known genetic architecture of blood pressure now comprises >30 genes, with rare variants resulting in monogenic forms of hypertension or hypotension and >1,477 common single-nucleotide polymorphisms (SNPs) being associated with the blood pressure phenotype. Monogenic blood pressure syndromes predominantly involve the renin-angiotensin-aldosterone system and the adrenal glucocorticoid pathway, with a smaller fraction caused by neuroendocrine tumours of the sympathetic and parasympathetic nervous systems. The SNPs identified in genome-wide association studies (GWAS) as being associated with the blood pressure phenotype explain only approximately 27% of the 30-50% estimated heritability of blood pressure, and the effect of each SNP on the blood pressure phenotype is small. A paucity of SNPs from GWAS are mapped to known genes causing monogenic blood pressure syndromes. For example, a GWAS signal mapped to the gene encoding uromodulin has been shown to affect blood pressure by influencing sodium homeostasis, and the effects of another GWAS signal were mediated by endothelin. However, the majority of blood pressure-associated SNPs show pleiotropic associations. Unravelling these associations can potentially help us to understand the underlying biological pathways. In this Review, we appraise the current knowledge of blood pressure genomics, explore the causal pathways for hypertension identified in Mendelian randomization studies and highlight the opportunities for drug repurposing and pharmacogenomics for the treatment of hypertension.

PMID: 33219353 [PubMed - as supplied by publisher]

Target-Centered Drug Repurposing Predictions of Human Angiotensin-Converting Enzyme 2 (ACE2) and Transmembrane Protease Serine Subtype 2 (TMPRSS2) Interacting Approved Drugs for Coronavirus Disease 2019 (COVID-19) Treatment through a Drug-Target Interaction Deep Learning Model.

Viruses. 2020 Nov 18;12(11):

Authors: Choi Y, Shin B, Kang K, Park S, Beck BR

Abstract
Previously, our group predicted commercially available Food and Drug Administration (FDA) approved drugs that can inhibit each step of the replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using a deep learning-based drug-target interaction model called Molecule Transformer-Drug Target Interaction (MT-DTI). Unfortunately, additional clinically significant treatment options since the approval of remdesivir are scarce. To overcome the current coronavirus disease 2019 (COVID-19) more efficiently, a treatment strategy that controls not only SARS-CoV-2 replication but also the host entry step should be considered. In this study, we used MT-DTI to predict FDA approved drugs that may have strong affinities for the angiotensin-converting enzyme 2 (ACE2) receptor and the transmembrane protease serine 2 (TMPRSS2) which are essential for viral entry to the host cell. Of the 460 drugs with Kd of less than 100 nM for the ACE2 receptor, 17 drugs overlapped with drugs that inhibit the interaction of ACE2 and SARS-CoV-2 spike reported in the NCATS OpenData portal. Among them, enalaprilat, an ACE inhibitor, showed a Kd value of 1.5 nM against the ACE2. Furthermore, three of the top 30 drugs with strong affinity prediction for the TMPRSS2 are anti-hepatitis C virus (HCV) drugs, including ombitasvir, daclatasvir, and paritaprevir. Notably, of the top 30 drugs, AT1R blocker eprosartan and neuropsychiatric drug lisuride showed similar gene expression profiles to potential TMPRSS2 inhibitors. Collectively, we suggest that drugs predicted to have strong inhibitory potencies to ACE2 and TMPRSS2 through the DTI model should be considered as potential drug repurposing candidates for COVID-19.

PMID: 33218024 [PubMed - as supplied by publisher]

COVID-19 pandemic and antiretrovirals (ARV) availability in Nigeria: recommendations to prevent shortages.

Pan Afr Med J. 2020;35(Suppl 2):149

Authors: Dada DA, Aku E, David KB

Abstract
HIV/AIDS is an infectious disease that has claimed the lives of millions of people worldwide. Currently, there is no vaccine that has been developed in a bid to fight this deadly infection, however, antiretrovirals (ARVs), which are drugs used in the treatment of HIV infection are routinely prescribed to infected persons. They act via several mechanisms of action to reduce the severity of infection and rate of infectivity of the virus by decreasing the viral load while increasing CD4 counts. COVID-19 pandemic has resulted in unprecedented events affecting almost all areas of humans' life including availability of medicines and other consumables. This paper analyses the availability of ARVs during COVID-19 era and offered recommendations to be adopted in order to prevent shortages.

PMID: 33193964 [PubMed - indexed for MEDLINE]

11 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"drug repositioning" OR "drug repurposing"

These pubmed results were generated on 2020/11/20

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Histamine receptors and COVID-19.

Inflamm Res. 2020 Nov 18;:

Authors: Ennis M, Tiligada K

Abstract
OBJECTIVE: Reports that the over-the-counter histamine H2 receptor antagonist famotidine could help treat the novel coronavirus disease (COVID-19) appeared from April 2020. We, therefore, examined reports on interactions between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and histamine receptor antagonists.
METHODS: A systematic literature search was performed by 19 September 2020, and updated on 28 October 2020, in PubMed, Scopus, Cochrane Library and Google Scholar using (COVID-19 OR coronavirus OR SARS-CoV-2) AND (histamine antagonist OR famotidine OR cimetidine). ClinicalTrials.gov was searched for COVID-19 and (famotidine or histamine).
RESULTS: Famotidine may be a useful addition in COVID-19 treatment, but the results from prospective randomized trials are as yet awaited. Bioinformatics/drug repurposing studies indicated that, among several medicines, H1 and H2 receptor antagonists may interact with key viral enzymes. However, in vitro studies have to date failed to show a direct inhibition of famotidine on SARS-CoV-2 replication.
CONCLUSIONS: Clinical research into the potential benefits of H2 receptor antagonists in managing COVID-19 inflammation began from a simple observation and now is being tested in multi-centre clinical trials. The positive effects of famotidine may be due to H2 receptor-mediated immunomodulatory actions on mast cell histamine-cytokine cross-talk, rather than a direct action on SARS-CoV-2.

PMID: 33206207 [PubMed - as supplied by publisher]

Targeting SARS-CoV-2 RNA-dependent RNA polymerase: An in silico drug repurposing for COVID-19.

F1000Res. 2020;9:1166

Authors: Baby K, Maity S, Mehta CH, Suresh A, Nayak UY, Nayak Y

Abstract
Background: The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), took more lives than combined epidemics of SARS, MERS, H1N1, and Ebola. Currently, the prevention and control of spread are the goals in COVID-19 management as there are no specific drugs to cure or vaccines available for prevention. Hence, the drug repurposing was explored by many research groups, and many target proteins have been examined. The major protease (M pro), and RNA-dependent RNA polymerase (RdRp) are two target proteins in SARS-CoV-2 that have been validated and extensively studied for drug development in COVID-19. The RdRp shares a high degree of homology between those of two previously known coronaviruses, SARS-CoV and MERS-CoV. Methods: In this study, the FDA approved library of drugs were docked against the active site of RdRp using Schrodinger's computer-aided drug discovery tools for in silico drug-repurposing. Results: We have shortlisted 14 drugs from the Standard Precision docking and interaction-wise study of drug-binding with the active site on the enzyme. These drugs are antibiotics, NSAIDs, hypolipidemic, coagulant, thrombolytic, and anti-allergics. In molecular dynamics simulations, pitavastatin, ridogrel and rosoxacin displayed superior binding with the active site through ARG555 and divalent magnesium. Conclusion: Pitavastatin, ridogrel and rosoxacin can be further optimized in preclinical and clinical studies to determine their possible role in COVID-19 treatment.

PMID: 33204411 [PubMed - in process]