Browse
Submit Data
Databases
API
Help

Dataset Information

15 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Computational investigation of binding of chloroquinone and hydroxychloroquinone against PLPro of SARS-CoV-2.

ABSTRACT: Novel coronavirus SARS-CoV-2 has infected 18 million people with 700,000+ mortalities worldwide and this deadly numeric figure is rapidly rising. With very few success stories, the therapeutic targeting of this epidemic has been mainly attributed to main protease (Mpro), whilst Papain-like proteases (PLpro) also plays a vital role in the processing of replicase polyprotein. Multifunctional roles of PLpro such as viral polypeptide cleavage, de-ISGlyation and immune suppression have made it a promising drug target for therapeutic interventions. Whilst there have been a number of studies and others are on-going on repurposing and new-small molecule screening, albeit previously FDA approved drugs viz. Chloroquine (CQ) and Hydroxychloroquine (HCQ) have only been found effective against this pandemic. Inspired by this fact, we have carried out molecular docking and dynamics simulation studies of FDA approved CQ and HCQ against SARS-CoV-2 PLpro. The end aim is to characterise the binding mode of CQ and HCQ and identify the key amino acid residues involved in the mechanism of action. Further, molecular dynamics simulations (MDS) were carried out with the docked complex to search for the conformational space and for understanding the integrity of binding mode. We showed that the CQ and HCQ can bind with better binding affinity with PLpro as compared to reference known PLpro inhibitor. Based on the presented findings, it can be anticipated that the SARS-CoV-2 PLpro may act as molecular target of CQ and HCQ, and can be projected for further exploration to design potent inhibitors of SARS-CoV-2 PLpro in the near future.

SUBMITTER: Patel D

PROVIDER: S-EPMC7682385 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Culinary spice bioactives as potential therapeutics against SARS-CoV-2: Computational investigation.

Project description:BackgroundCoronavirus disease-2019 (COVID-19) is an infectious pandemic caused by SARS-CoV-2. SARS-CoV-2 main protease (Mpro) and spike protein are crucial for viral replication and transmission. Spike protein recognizes the human ACE2 receptor and transmits SARS-CoV-2 into the human body. Thus, Mpro, spike protein, and ACE2 receptor act as appropriate targets for the development of therapeutics against SARS-CoV-2. Spices are traditionally known to have anti-viral and immune-boosting activities. Therefore, we investigated the possible use of selected spice bioactives against the potential targets of SARS-CoV-2 using computational analysis.MethodsMolecular docking analysis was performed to analyze the binding efficiency of spice bioactives against SARS-CoV-2 target proteins along with the standard drugs. Drug-likeness properties of selected spice bioactives were investigated using Lipinski's rule of five and the SWISSADME database. Pharmacological properties such as ADME/T, biological functions, and toxicity were analyzed using ADMETlab, PASS-prediction, and ProTox-II servers, respectively.ResultsOut of forty-six spice bioactives screened, six bioactives have shown relatively better binding energies than the standard drugs and have a higher binding affinity with at least more than two targets of SARS-CoV-2. The selected bioactives were analyzed for their binding similarities with the standard drug, remdesivir, towards the targets of SARS-CoV-2. Selected spice bioactives have shown potential drug-likeness properties, with higher GI absorption rate, lower toxicity with pleiotropic biological roles.ConclusionsSpice bioactives have the potential to bind with the specific targets involved in SARS-CoV-2 infection and transmission. Therefore, spice-based nutraceuticals can be developed for the prevention and treatment of COVID-19.

| S-EPMC7606080 | biostudies-literature

Mechanism and inhibition of the papain-like protease, PLpro, of SARS-CoV-2

Project description:The SARS-CoV-2 coronavirus encodes an essential papain-like protease domain as part of its non-structural protein (nsp)-3, namely SARS2 PLpro, that cleaves the viral polyprotein, but also removes ubiquitin-like ISG15 protein modifications as well as, with lower activity, Lys48-linked polyubiquitin. Structures of PLpro bound to ubiquitin and ISG15 reveal that the S1 ubiquitin binding site is responsible for high ISG15 activity, while the S2 binding site provides Lys48 chain specificity and cleavage efficiency. To identify PLpro inhibitors in a repurposing approach, screening of 3727 unique approved drugs and clinical compounds against SARS2 PLpro, identified no compounds that inhibited PLpro consistently or that could be validated in counterscreens. More promisingly, non-covalent small molecule SARS PLpro inhibitors also target SARS2 PLpro, prevent selfprocessing of nsp3 in cells, and display high potency and excellent antiviral activity in a SARS-CoV-2 infection model.

| S-SCDT-EMBOJ-2020-106275 | biostudies-other

Identification of SARS-CoV-2 Papain-like Protease (PLpro) Inhibitors Using Combined Computational Approach.

Project description:In the current pandemic, finding an effective drug to prevent or treat the infection is the highest priority. A rapid and safe approach to counteract COVID-19 is in silico drug repurposing. The SARS-CoV-2 PLpro promotes viral replication and modulates the host immune system, resulting in inhibition of the host antiviral innate immune response, and therefore is an attractive drug target. In this study, we used a combined in silico virtual screening for candidates for SARS-CoV-2 PLpro protease inhibitors. We used the Informational spectrum method applied for Small Molecules for searching the Drugbank database followed by molecular docking. After in silico screening of drug space, we identified 44 drugs as potential SARS-CoV-2 PLpro inhibitors that we propose for further experimental testing.

| S-EPMC8805381 | biostudies-literature

Phytocompounds as potential inhibitors of SARS-CoV-2 Mpro and PLpro through computational studies.

Project description:The inhibition of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease (Mpro) and papain-like protease (PLpro) prevents viral multiplications; these viral enzymes have been recognized as one of the most favorable targets for drug discovery against SARS-CoV-2. In the present study, we screened 225 phytocompounds present in 28 different Indian spices to identify compounds as potential inhibitors of SARS-CoV-2 Mpro and PLpro. Molecular docking, molecular dynamics simulation, molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) binding free energy calculations, and absorption, distribution, metabolism, excretion and toxicity (ADMET) studies were done. Based on binding affinity, dynamics behavior, and binding free energies, the present study identifies pentaoxahexacyclo-dotriacontanonaen-trihydroxybenzoate derivative (PDT), rutin, and dihyroxy-oxan-phenyl-chromen-4-one derivative (DOC), luteolin-7-glucoside-4'-neohesperidoside as promising inhibitors of SARS-CoV-2 Mpro and PLpro, respectively.

| S-EPMC8873046 | biostudies-literature

Traditional medicinal plants against replication, maturation and transmission targets of SARS-CoV-2: computational investigation.

Project description:COVID-19 is an infectious pandemic caused by the SARS-CoV-2 virus. The critical components of SARS-CoV-2 are the spike protein (S-protein) and the main protease (Mpro). Mpro is required for the maturation of the various polyproteins involved in replication and transcription. S-protein helps the SARS-CoV-2 to enter the host cells through the angiotensin-converting enzyme 2 (ACE2). Since ACE2 is required for the binding of SARS-CoV-2 on the host cells, ACE2 inhibitors and blockers have got wider attention, in addition to S-protein and Mpro modulators as potential therapeutics for COVID-19. So far, no specific drugs have shown promising therapeutic potential against COVID-19. The current study was undertaken to evaluate the therapeutic potential of traditional medicinal plants against COVID-19. The bioactives from the medicinal plants, along with standard drugs, were screened for their binding against S-protein, Mpro and ACE2 targets using molecular docking followed by molecular dynamics. Based on the higher binding affinity compared with standard drugs, bioactives were selected and further analyzed for their pharmacological properties such as drug-likeness, ADME/T-test, biological activities using in silico tools. The binding energies of several bioactives analyzed with target proteins were relatively comparable and even better than the standard drugs. Based on Lipinski factors and lower binding energies, seven bioactives were further analyzed for their pharmacological and biological characteristics. The selected bioactives were found to have lower toxicity with a higher GI absorption rate and potent anti-inflammatory and anti-viral activities against targets of COVID-19. Therefore, the bioactives from these medicinal plants can be further developed as phytopharmaceuticals for the effective treatment of COVID-19.

| S-EPMC7651333 | biostudies-literature

Anisotine and amarogentin as promising inhibitory candidates against SARS-CoV-2 proteins: a computational investigation.

Project description:The coronavirus disease 2019 (COVID-19) pandemic, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), presents an unprecedented challenge to global public health with researchers striving to find a possible therapeutic candidate that could limit the spread of the virus. In this context, the present study employed an in silico molecular interaction-based approach to estimate the inhibitory potential of the phytochemicals from ethnomedicinally relevant Indian plants including Justicia adhatoda, Ocimum sanctum and Swertia chirata, with reported antiviral activities against crucial SARS-CoV-2 proteins. SARS-CoV-2 proteins associated with host attachment and viral replication namely, spike protein, main protease enzyme Mpro and RNA-dependent RNA polymerase (RdRp) are promising druggable targets for COVID-19 therapeutic research. Extensive molecular docking of the phytocompounds at the binding pockets of the viral proteins revealed their promising inhibitory potential. Subsequent assessment of physicochemical features and potential toxicity of the compounds followed by robust molecular dynamics simulations and analysis of MM-PBSA energy scoring function revealed anisotine against SARS-CoV-2 spike and Mpro proteins and amarogentin against SARS-CoV-2 RdRp as potential inhibitors. It was interesting to note that these compounds displayed significantly higher binding energy scores against the respective SARS-CoV-2 proteins compared to the relevant drugs that are currently being targeted against them. Present research findings confer scopes to explore further the potential of these compounds in vitro and in vivo towards deployment as efficient SARS-CoV-2 inhibitors and development of novel effective therapeutics. Communicated by Ramaswamy H. Sarma.

| S-EPMC7808002 | biostudies-literature

Computational investigation of benzalacetophenone derivatives against SARS-CoV-2 as potential multi-target bioactive compounds.

Project description:Benzalacetophenones, precursors of flavonoids are aromatic ketones and enones and possess the immunostimulant as well as antiviral activities. Thus, benzalacetophenones were screened against the COVID-19 that could be lethal in patients with compromised immunity. We considered ChEBI recorded benzalacetophenone derivative(s) and evaluated their activity against 3C-like protease (3CLpro), papain-like protease (PLpro), and spike protein of SARS-Cov-2 to elucidate their possible role as antiviral agents. The probable targets for each compound were retrieved from DIGEP-Pred at 0.5 pharmacological activity and all the modulated proteins were enriched to identify the probably regulated pathways, biological processes, cellular components, and molecular functions. In addition, molecular docking was performed using AutoDock 4 and the best-identified hits were subjected to all-atom molecular dynamics simulation and binding energy calculations using molecular mechanics Poisson-Boltzmann surface area (MMPBSA). The compound 4-hydroxycordoin showed the highest druglikeness score and regulated nine proteins of which five were down-regulated and four were upregulated. Similarly, enrichment analysis identified the modulation of multiple pathways concerned with the immune system as well as pathways related to infectious and non-infectious diseases. Likewise, 3'-(3-methyl-2-butenyl)-4'-O-β-d-glucopyranosyl-4,2'-dihydroxychalcone with 3CLpro, 4-hydroxycordoin with PLpro and mallotophilippen D with spike protein receptor-binding domain showed highest binding affinity, revealed stable interactions during the simulation, and scored binding free energy of -26.09 kcal/mol, -16.28 kcal/mol, and -39.2 kcal/mol, respectively. Predicted anti-SARS-CoV-2 activities of the benzalacetophenones reflected the requirement of wet lab studies to develop novel antiviral candidates.

| S-EPMC9135652 | biostudies-literature

Computational design of stapled peptide inhibitor against SARS-CoV-2 receptor binding domain.

Project description:Since its first detection in 2019, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has been the cause of millions of deaths worldwide. Despite the development and administration of different vaccines, the situation is still worrisome as the virus is constantly mutating to produce newer variants some of which are highly infectious. This raises an urgent requirement to understand the infection mechanism and thereby design therapeutic-based treatment for COVID-19. The gateway of the virus to the host cell is mediated by the binding of the receptor binding domain (RBD) of the virus spike protein to the angiotensin-converting enzyme 2 (ACE2) of the human cell. Therefore, the RBD of SARS-CoV-2 can be used as a target to design therapeutics. The α1 helix of ACE2, which forms direct contact with the RBD surface, has been used as a template in the current study to design stapled peptide therapeutics. Using computer simulation, the mechanism and thermodynamics of the binding of six stapled peptides with RBD have been estimated. Among these, the one with two lactam stapling agents has shown binding affinity, sufficient to overcome RBD-ACE2 binding. Analyses of the mechanistic detail reveal that a reorganization of amino acids at the RBD-ACE2 interface produces favorable enthalpy of binding whereas conformational restriction of the free peptide reduces the loss in entropy to result higher binding affinity. The understanding of the relation of the nature of the stapling agent with their binding affinity opens up the avenue to explore stapled peptides as therapeutic against SARS-CoV-2.

| S-EPMC9088457 | biostudies-literature

Design of SARS-CoV-2 PLpro Inhibitors for COVID-19 Antiviral Therapy Leveraging Binding Cooperativity.

Project description:Antiviral agents that complement vaccination are urgently needed to end the COVID-19 pandemic. The SARS-CoV-2 papain-like protease (PLpro), one of only two essential cysteine proteases that regulate viral replication, also dysregulates host immune sensing by binding and deubiquitination of host protein substrates. PLpro is a promising therapeutic target, albeit challenging owing to featureless P1 and P2 sites recognizing glycine. To overcome this challenge, we leveraged the cooperativity of multiple shallow binding sites on the PLpro surface, yielding novel 2-phenylthiophenes with nanomolar inhibitory potency. New cocrystal structures confirmed that ligand binding induces new interactions with PLpro: by closing of the BL2 loop of PLpro forming a novel "BL2 groove" and by mimicking the binding interaction of ubiquitin with Glu167 of PLpro. Together, this binding cooperativity translates to the most potent PLpro inhibitors reported to date, with slow off-rates, improved binding affinities, and low micromolar antiviral potency in SARS-CoV-2-infected human cells.

| S-EPMC8547495 | biostudies-literature

Computational insights into binding mechanism of drugs as potential inhibitors against SARS-CoV-2 targets.

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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data