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Fig 1.

The experimental process of this study.

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Table 1.

Physicochemical properties of amino acids.

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Fig 2.

Homologous sequence alignment of proteins.

The blue portions represent similar amino acid sequence (The darker the blue, the more conservative it is).

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Fig 3.

(A-B) Protein signal peptide was analyzed by SignalP6.0.

Other: the probability that the sequence does not have any signal peptides.

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Table 2.

Physical properties, antigenicity and scores of CTL dominant epitopes.

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Table 2 Expand

Table 3.

Physical properties, antigenicity and scores of HTL dominant epitopes.

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Table 3 Expand

Fig 4.

B cell conformational epitope predicted by Ellipro.

The yellow spheres represent B cell conformational epitopes, the gray area represents the majority of the polyprotein. (A)Rv0986 conformational epitope residues:V228,N229,R230, E231,N232,Q233,T234,D235,Q236,P237,A238,S239,T240,I241,L242,L243,P244,T245,S246,Y247,E248. (B)PknD conformational epitope residues:D242,S243,D244,R245,T246,T261,S262,L263, E264,H265,H266,H267.

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Table 4.

Physical properties, antigenicity and scores of LBEs dominant epitopes.

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Table 5.

Physical properties, antigenicity and scores of CBEs dominant epitopes.

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Fig 5.

Docking complex display (A)Molecular docking between ITAPWGIAV(CTLs) and HLA-A*02:01(B)Molecular docking between FQFFNLIPTLTVLEN(HTLs) and HLA-DRB1*07:01.

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Fig 6.

(A-B)Epitopes and their corresponding MHC allele interaction using the LIGPLOT.

Hydrogen bonds are represented by dotted green lines, and red semicircular circles indicate residues involved in hydrophobic interactions.

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Fig 7.

Vaccine construct from N-terminal to C-terminal.

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Table 6.

The physiochemical profiling of the mRNA vaccine.

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Fig 8.

(A)Immunoglobulins in various states (B)The Helper T Cell Population in various states (C)The Helper T Cell Population in various states (D)The Cytotoxic T Cell Population in various states (E)The B cell population in various states (F)The B Cell Population in various states (G)Dendritic Cell Population in various states (H)Macrophage Population in various states (I)Cytokines and Interleukins Production with Simpson Index of the immune response.

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Fig 9.

Codon optimization and plasmid vector construction (A)Sequence after adaptation (B)The cloned MEV was inserted into the PVAX1 vector (C)After amplified(1161bp).

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Fig 10.

(A)In silico cloning simulation. Codon-optimized multiepitope sequences (red) inserted between the restriction sites BamHI and XhoI in the PVAX1 expression vector (black). (B)Simulated agarose gel electrophoresis results. “1” stands for MEV-PCR,“2”stand for PVAX1,“3” stand for recombinant plasmid.

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Fig 11.

(A)Optimal secondary structure (B)Centroid secondary structure.

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Fig 12.

(A-B)Prediction of vaccine secondary structure(C)Optimize the pre-tertiary structure(D)Optimize the post-tertiary structure.

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Fig 13.

(A)The Ramachsndran diagram was analyzed using PROCHECK (B)Analyze the Z-score using the Pro-SA server. (C) Energy diagram using the Pro-SA server.

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Fig 14.

Molecular docking result (A)Docking complex, blue is the vaccine structure, green is the TLR4 receptor. (B)The interaction of MEV-TLR4 docking complex was demonstrated using PyMol. (C)The interaction of MEV-TLR4 complex and its 2D image were analyzed by Ligplot.

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Fig 15.

Molecular dynamics simulation results.

(A) The RMSD locus of the receptor, ligand, and complex. The abscissa is the running time of MD simulation, and the ordinate is RMSD-value. (B-F) The RMSF locus of acceptor-ligand, the horizontal coordinate is the amino acid residue base in the docking complex, the ordinate is the rmsf value. (G-I) The trajectory of complex hydrogen bond, Gyrate and SASA respectively.

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