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- CoronaVR Overview
- COVID-19 is a pandemic disease caused by SARS-CoV-2 which has become a health emergency througout the World.
- Till date, there is no FDA-approved drug or vaccine available to combat this deadly pathogen.
- To help the researchers fight against SAR-CoV-2, we have developed CoronaVR, an integrative multi-omics platform dedicated to the Corona virus genomic and proteomic analysis along with comparative genomics, vaccine epitopes and therapeutic knowledge.
- It is classified into different sections representing individual components i.e. "Epitopes", "Genomes", "Therapeutics", "Primers" and analysis tools.
- It delivers sophisticated analysis such as genome search, codon usage bias, phylogenetic inferences at whole genome; gene and protein level with user-friendly visual environment.
- It also includes graphical Corona genome browser, CoronaBrowse for the collective representation of SARS-CoV-2 annotation and regulatory information.
- It has a dedicated section for vaccine epitope candidates under the heading " Epitopes" that harbors information about predicted B-cell (linear and discontinous) and T-cell (MHC-I & II binders, CTL epitopes, CD8 & CD4 immunogenic )epitopes of SARS-CoV-2 alongwith the conservancy.
- Furthermore, CoronaVR also deals with therapeutically imperative constituents i.e. molecular diagnostics primers, siRNAs, miRNAs, sgRNAs.
- Detailed organization
- Epitope prediction pipeline for potential vaccine candidates
- We have used various online prediction tools such as IEDB, NetCTLpan, Vaxijen, ToxinPred, AllerTop to predict probable vaccine candidates against the SARS-CoV-2.
- We predicted linear and discontious B-cell epitopes using IEDB tools Bepipred and Ellipro respectively. For MHC-I and II binders, CD8 and CD4 immunonogenic epitopes, we used respective tools available at IEDB and CTL epitopes by CTLpan.
- For antigenicity, toxicity and allergenicity prediction, we used Vaxijen v 2.0, ToxinPred and AllerTop 2.0 respectively. We used IFNepitope specifically for MHC-II binders to predict IFN gamma inducing epitopes.
- We also performed cross-conservancy analysis of our predicted epitopes with other coronaviruses, specifically SARS-CoV and population coverage only for T-cell epitopes to predict protection that can be provided to a population by our shortlisted epitopes.
- Since no experimental epitopes are available from SARS-CoV-2 till now, we extracted experimentally verified epitopes of SARS-CoV and mapped them on SARS-CoV-2 proteins to find cross-protective epitopes.
- Epitope based vaccine development pipeline:
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- Epitopes
- In this section, we have summarized the details of predicted B-cell, immunogenic (CD8 and CD4) epitopes and MHC-I & II binders.
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- T-cell epitopes
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- The below image shows the screenshots for predicted MHC-I, MHC-II and CTL epitopes, their source protein, start and stop positions, length and conservancy with other coronaviruses.
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- IEDB Epitopes
- The below image shows the experiemntally proven T and B-cell epitopes of coronaviruses and their respective details available at IEDB..
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- Therapeutics
- siRNAs using SiRNAs-VirSiRNApred and desiRm
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- sgRNAs
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- miRNAs
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- Genome search
- Genome search
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- Corona Browser
- To navigate through the genomes and proteomes, we set up an "Corona genome browser" which facilitates graphical dynamic visualization of annotations.
- Various tracks includes Corona genome, proteome, regions, and regulatory sites
- The upper panel shows the positional scale (ruler) to navigate through genomes/proteome along with reference sequence. Distinct annotation features were shown in separate color blocks.
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- Primers
- Experimental and designed primers
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- 2019-nCoV codon usage
- Glycosylation sites in 2019-nCoV
- CoV Protein structures
- Experimentally known PDB structures
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- 2019-nCoV predicted structures
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- CoVs predicted structures
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- Protein search
- Protein search
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- Cblast
- Cblast:: To find similarity and align query sequence to the Corona genomes and genes.
- Str3D
- Str3D:: 3D-structure visualization of proteins and molecules.
- PhysicoProp
- This tool provide graphical view of some important physico-chemical properties of input sequence like Percentage of amino acid composition, hydrophobicity, Preference for beta strands etc.