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In silico design of antiviral peptides targeting the spike protein of SARS-CoV-2.

ABSTRACT: An outbreak caused by 2019 novel coronavirus (2019-nCoV) was first identified in Wuhan City, Hubei Province, China. The new virus was later named SARS-CoV-2. The virus has affected tens of thousands of patients in the world. The infection of SARS-CoV-2 causes severe pneumonia and even death. It is urgently needed to find a therapeutic method to treat patients with SARS-CoV-2 infection. Studies showed that the surface spike (S) protein is essential for the coronavirus binding and entry of host cells. The heptad repeats 1 and 2 (HR1 and HR2) in the S protein play a decisive role in the fusion of the viral membrane with the host cell membrane. We predicted the HR1 and HR2 regions in S protein by sequence alignment. We simulated a computational model of HR1/2 regions and the fusion core. The binding energy of HR1 and HR2 of the fusion core was -33.4 kcal/mol. We then designed antivirus peptides by molecular dynamics simulation of the fusion core. The binding energy of HR2-based antiviral peptide to HR1 was -43.0 kcal/mol, which was stronger than the natural stage of the fusion core, suggesting that the predicted antiviral peptide can competitively bind with HR1 to prevent forming of the fusion core. The antiviral peptides can prevent SARS-CoV-2 membrane fusion and can potentially be used for the prevention and treatment of infections.

SUBMITTER: Ling R

PROVIDER: S-EPMC7198429 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Potential antiviral peptides targeting the SARS-CoV-2 spike protein.

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| S-EPMC9716172 | biostudies-literature

Binder design for targeting SARS-CoV-2 spike protein: An in silico perspective.

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| S-EPMC8616691 | biostudies-literature

In-Silico Selection of Aptamer Targeting SARS-CoV-2 Spike Protein.

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| S-EPMC9143595 | biostudies-literature

A high-throughput pipeline for design and selection of peptides targeting the SARS-Cov-2 Spike protein.

Project description:Rapid design, screening, and characterization of biorecognition elements (BREs) is essential for the development of diagnostic tests and antiviral therapeutics needed to combat the spread of viruses such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To address this need, we developed a high-throughput pipeline combining in silico design of a peptide library specific for SARS-CoV-2 spike (S) protein and microarray screening to identify binding sequences. Our optimized microarray platform allowed the simultaneous screening of ~ 2.5 k peptides and rapid identification of binding sequences resulting in selection of four peptides with nanomolar affinity to the SARS-CoV-2 S protein. Finally, we demonstrated the successful integration of one of the top peptides into an electrochemical sensor with a clinically relevant limit of detection for S protein in spiked saliva. Our results demonstrate the utility of this novel pipeline for the selection of peptide BREs in response to the SARS-CoV-2 pandemic, and the broader application of such a platform in response to future viral threats.

| S-EPMC8571316 | biostudies-literature

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| S-EPMC8667532 | biostudies-literature

Targeting the SARS-CoV-2-spike protein: from antibodies to miniproteins and peptides.

Project description:Coronavirus disease-19, caused by the novel β-coronavirus SARS-CoV-2, has created a global pandemic unseen in a century. Rapid worldwide efforts have enabled the characterization of the virus and its pathogenic mechanism. An early key finding is that SARS-CoV-2 uses spike proteins, the virus' most exposed structures, to bind to human ACE2 receptors and initiate cell invasion. Competitive targeting of the spike protein is a promising strategy to neutralize virus infectivity. This review article summarizes the discovery, binding modes and eventual applications of several classes of (bio)molecules targeting the spike protein: antibodies, nanobodies, soluble ACE2 variants, miniproteins, peptides and small molecules.

| S-EPMC8128053 | biostudies-literature

In silico targeting SARS-CoV-2 spike protein and main protease by biochemical compounds.

Project description:Since there is no general agreement on drug treatment of SARS-CoV-2, the search for a new drug capable of treating COVID-19 is of utmost priority. This study aims to dereplicate the chemical compounds of the methanol extract of Salvia officinalis and Artemisia dracunculus, and assay the inhibitory effect of these compounds as well as the previously dereplicated components of Zingiber officinale against SARS-CoV-2 in an in-silico study. A molecular networking (MN) technique was applied to find the chemical constituents of the extracts. Docking analysis was also used to find the binding affinity of dereplicated components from S. officinalis, A. dracunculus, and Z. officinale to COV-2-SP and Mpro. 57 compounds were dereplicated from the MeOH extracts of S. officinalis and A. dracunculus which include the class of polyphenols, flavonoids, coumarins, phenylpropanoids, anthocyanins, and dihydrochalcones. Molecular docking analysis indicated a high affinity of about 27 compounds from three mentioned plants against studied targets. kaempferol 3-O-rutinoside, neodiosmin, and querciturone with docking score values of -10.575, -10.208, and - 9.904 Kcal/mol and ki values of 0.016606, 0.030921, and 0.051749, respectively were found to have the highest affinities against COV-2-SP. 2-phenylethyl beta-primeveroside, curcumin PE, and kaempferol 3-O-rutinoside also indicated the highest affinity against Mpro with docking scores of -10.34, -10.126 and - 9.705 and ki values of 0.024726, 0.035529, and 0.072494, respectively. MN can be successfully used for the dereplication of metabolites from plant extracts. In addition, the in-silico binding energies introduced several inhibitors from Z. officinale, S. officinalis, and A. dracunculus for the treatment of SARS-CoV-2 disease.Supplementary informationThe online version contains supplementary material available at 10.1007/s11756-021-00881-z.

| S-EPMC8456686 | biostudies-literature

Structure-Based Design of Novel Peptidomimetics Targeting the SARS-CoV-2 Spike Protein.

Project description:PurposeSARS-CoV-2 is a SARS-like novel coronavirus strain first identified in December 2019 in Wuhan, China. The virus has since spread globally, resulting in the current ongoing coronavirus disease 19 (COVID-19) pandemic. SARS-CoV-2 spike protein is a critical factor in the COVID-19 pathogenesis via interactions with the host cell angiotensin-converting enzyme 2 (ACE2) PD domain. Worldwide, numerous efforts are being made to combat COVID19. In the current study, we identified potential peptidomimetics against the SARS-CoV-2 spike protein.MethodsWe utilized the information from ACE2-SARS-CoV-2 binary interactions, and based on crucial interacting interface residues, novel peptidomimetics were designed.ResultsTop scoring peptidomimetics were found to bind at the ACE2 binding site of the receptor-binding domain (RBD) of SARS-CoV-2 spike protein.ConclusionsThe current studies could pave the way for further investigations of these novel and potent compounds against the SARS-CoV-2.

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Rapid design and development of CRISPR-Cas13a targeting SARS-CoV-2 spike protein.

Project description:The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a worldwide epidemic of the lethal respiratory coronavirus disease (COVID-19), necessitating urgent development of specific and effective therapeutic tools. Among several therapeutic targets of coronaviruses, the spike protein is of great significance due to its key role in host invasion. Here, we report a potential anti-SARS-CoV-2 strategy based on the CRISPR-Cas13a system. Methods: A comprehensive set of bioinformatics methods, including sequence alignment, structural comparison, and molecular docking, was utilized to identify a SARS-CoV-2-spike(S)-specific segment. A tiling crRNA library targeting this specific RNA segment was designed, and optimal crRNA candidates were selected using in-silico methods. The efficiencies of the crRNA candidates were tested in human HepG2 and AT2 cells. Results: The most effective crRNA sequence inducing a robust cleavage effect on S and a potent collateral cleavage effect were identified. Conclusions: This study provides a rapid design pipeline for a CRISPR-Cas13a-based antiviral tool against SARS-CoV-2. Moreover, it offers a novel approach for anti-virus study even if the precise structures of viral proteins are indeterminate.

| S-EPMC7738867 | biostudies-literature

In-silico study of peptide-protein interaction of antimicrobial peptides potentially targeting SARS and SARS-CoV-2 nucleocapsid protein.

Project description:This study is an attempt to find a suitable therapy using antimicrobial peptides (AMPs) by identifying peptide-protein interaction of AMPs and nucleocapsid protein of SARS and SARS-CoV- 2. The AMPs were shortlisted from the APD3 database (Antimicrobial peptide database) based on various physicochemical parameters. The binding efficacy of AMPs was measured using the lowest energy score of the docked complexes with 10 selected AMPs. For SARS-CoV, AP00180 showed the best pose with a binding affinity value of - 6.4 kcal/mol. Prominent hydrogen bonding interactions were observed between Lys85 (nucleocapsid receptor) and Arg13 (antimicrobial peptide ligand) having the least intermolecular distance of 1.759 Å. For SARS-CoV-2, AP00549 was docked with a binding affinity value of - 3.4 kcal/mol and Arg119 and Glu14 of receptor nucleocapsid protein and ligand AMP having the least intermolecular distance of 2.104 The dynamic simulation was performed at 50 ns to check the stability of the final docked complexes, one with each protein. The two best AMPs were AP00180 (Human Defensin-5) for SARS and AP00549 (Plectasin) for SARS-CoV-2. From positive results of dynamic simulation and previously known knowledge that some AMPs interact with the nucleocapsid of coronaviruses, these AMPs might be used as a potential therapeutic agent for the treatment regime of SARS-CoV-2 and SARS infection.Supplementary informationThe online version contains supplementary material available at 10.1007/s40203-021-00103-z.

| S-EPMC8315091 | biostudies-literature

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