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Genetic comparison among various coronavirus strains for the identification of potential vaccine targets of SARS-CoV2.

ABSTRACT: On-going pandemic pneumonia outbreak COVID-19 has raised an urgent public health issue worldwide impacting millions of people with a continuous increase in both morbidity and mortality. The causative agent of this disease is identified and named as SARS-CoV2 because of its genetic relatedness to SARS-CoV species that was responsible for the 2003 coronavirus outbreak. The immense spread of the disease in a very small period demands urgent development of therapeutic and prophylactic interventions for the treatment of SARS-CoV2 infected patients. A plethora of research is being conducted globally on this novel coronavirus strain to gain knowledge about its origin, evolutionary history, and phylogeny. This review is an effort to compare genetic similarities and diversifications among coronavirus strains, which can hint towards the susceptible antigen targets of SARS-CoV2 to come up with the potential therapeutic and prophylactic interventions for the prevention of this public threat.

SUBMITTER: Kaur N

PROVIDER: S-EPMC7395230 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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Genetic comparison among various coronavirus strains for the identification of potential vaccine targets of SARS-CoV2.

Kaur Navpreet N Singh Rimaljot R Dar Zahid Z Bijarnia Rakesh Kumar RK Dhingra Neelima N Kaur Tanzeer T

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases 20200801

On-going pandemic pneumonia outbreak COVID-19 has raised an urgent public health issue worldwide impacting millions of people with a continuous increase in both morbidity and mortality. The causative agent of this disease is identified and named as SARS-CoV2 because of its genetic relatedness to SARS-CoV species that was responsible for the 2003 coronavirus outbreak. The immense spread of the disease in a very small period demands urgent development of therapeutic and prophylactic interventions ...[more]

PMID: 32745811

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Project description:An unusual pneumonia infection, named COVID-19, was reported on December 2019 in China. It was reported to be caused by a novel coronavirus which has infected approximately 220 million people worldwide with a death toll of 4.5 million as of September 2021. This study is focused on finding potential vaccine candidates and designing an in-silico subunit multi-epitope vaccine candidates using a unique computational pipeline, integrating reverse vaccinology, molecular docking and simulation methods. A protein named spike protein of SARS-CoV-2 with the GenBank ID QHD43416.1 was shortlisted as a potential vaccine candidate and was examined for presence of B-cell and T-cell epitopes. We also investigated antigenicity and interaction with distinct polymorphic alleles of the epitopes. High ranking epitopes such as DLCFTNVY (B cell epitope), KIADYNKL (MHC Class-I) and VKNKCVNFN (MHC class-II) were shortlisted for subsequent analysis. Digestion analysis verified the safety and stability of the shortlisted peptides. Docking study reported a strong binding of proposed peptides with HLA-A*02 and HLA-B7 alleles. We used standard methods to construct vaccine model and this construct was evaluated further for its antigenicity, physicochemical properties, 2D and 3D structure prediction and validation. Further, molecular docking followed by molecular dynamics simulation was performed to evaluate the binding affinity and stability of TLR-4 and vaccine complex. Finally, the vaccine construct was reverse transcribed and adapted for E. coli strain K 12 prior to the insertion within the pET-28-a (+) vector for determining translational and microbial expression followed by conservancy analysis. Also, six multi-epitope subunit vaccines were constructed using different strategies containing immunogenic epitopes, appropriate adjuvants and linker sequences. We propose that our vaccine constructs can be used for downstream investigations using in-vitro and in-vivo studies to design effective and safe vaccine against different strains of COVID-19.

Project description:Considering lack of validated therapeutic drugs or vaccines against contagious SARS-CoV2, various efforts have been focused on repurposing of existing drugs or identifying new agents. In an attempt to identify new and potential SARS-CoV2 inhibitors targeting specific enzyme of the pathogen, a few induced fit models of SARS-CoV2 main protease (Mpro) including N-aryl amide and aryl sulfonamide based fragments were subjected to a multi-step in silico strategy. Sub-structure query of co-crystallographic fragments provided numerous ZINC15 driven commercially available compounds that entered molecular docking stage to find binding interactions/modes inside Mpro active site. Docking results were reevaluated through time dependent stability of top-ranked ligand-protease complexes by molecular dynamics (MD) simulations within 50 ns. Relative contribution of interacted residues in binding to the most probable binding pose was estimated through amino acid decomposition analysis in B3LYP level of theory with Def2-TZVPP split basis set. In confirmation of docking results, MD simulations revealed less perceptible torsional distortions (more stable binding mode) in binding of ZINC_252512772 (ΔGb -9.18 kcal/mol) into Mpro active site. H-bond interactions and hydrophobic contacts were determinant forces in binding interactions of in silico hit. Quantum chemical calculations confirmed MD results and proved the pivotal role of a conserved residue (Glu166) in making permanent hydrogen bond (98% of MD simulations time) with ZINC_252512772. Drug-like physicochemical properties as well as desirable target binding interactions nominated ZINC_252512772 as a desirable in silico hit for further development toward SARS-CoV2 inhibitors. HighlightsA few N-aryl amide/aryl sulfonamide based fragments were subjected to a multi-step in silico strategy to afford potential SARS-CoV2 Mpro inhibitors.MD simulations revealed less perceptible torsional distortions (more stable binding mode) in binding of ZINC_252512772 (ΔGb -9.18 kcal/mol) into Mpro active site.H-bond interactions and hydrophobic contacts were determinant forces in binding interactions of in silico hit.Quantum chemical calculations confirmed MD results and proved pivotal role of a conserved residue (Glu166) in making permanent hydrogen bond (98% of MD simulations time) with ZINC_252512772.Communicated by Ramaswamy H. Sarma.

Dataset Information

Genetic comparison among various coronavirus strains for the identification of potential vaccine targets of SARS-CoV2.

Publications

Genetic comparison among various coronavirus strains for the identification of potential vaccine targets of SARS-CoV2.

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