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In silico analysis of NHP2 membrane protein, a novel vaccine candidate present in the RD7 region of Mycobacterium tuberculosis

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Abstract

Mycobacterium tuberculosis, the etiological agent of tuberculosis, is one of the trickiest pathogens. We have only a few protective shields, like the BCG vaccine against the pathogen, which itself has poor efficacy in preventing adult tuberculosis. Even though different vaccine trials for an alternative vaccine have been conducted, those studies have not shown much promising results. In the current study, advanced computational technology was used to study the potential of a novel hypothetical mycobacterial protein, identified by subtractive hybridization, to be a vaccine candidate. NHP2 (Novel Hypothetical Protein 2), housed in the RD7 region of the clinical strains of M. tuberculosis, was studied for its physical, chemical, immunological and structural properties using different computational tools. PFAM studies and Gene ontology studies depicted NHP2 protein to be functionally active with a possible antibiotic binding domain too. Different computational tools used to assess the toxicity, allergenicity and antigenicity of the protein indicated its antigenic nature. Immune Epitope Database (IEDB) tools were used to study the T and B cell determinants of the protein. The 3D structure of the protein was designed, refined and authenticated using bioinformatics tools. The validated tertiary structure of the protein was docked against the TLR3 immune receptor to study the binding affinity and docking scores. Molecular dynamic simulation of the protein-protein complex formed were studied. NHP2 was found to activate host immune response against tubercle bacillus and could be explored as a potential vaccine in the fight against tuberculosis.

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Data availability

All data supporting the findings of this study are available within the paper and its Supplementary Information. Nucleotide sequence is available in NCBI; GenBank Accession Number—GU994138.2.

Abbreviations

BCG:

Bacillus Calmette Guerin

NHP2:

Novel Hypothetical Protein 2

IEDB:

Immune Epitope Database

TLR3:

Toll Like receptor

TB:

Tuberculosis

MDR TB:

Multi Drug Resistant Tuberculosis

RD:

Region of Differences

ESAT:

Early Secreted Antigenic Target

RvDs:

Rv Deletions

NHP1:

Novel Hypothetical Protein 1

NCBI:

National Center for Biotechnology Information

ORF:

Open Reading Frames

EMBL:

European Molecular Biology Laboratory

SMS:

Sequence Manipulation Suite

CDD:

Conserved Domain Search

BLAST:

Basic Local Alignment Search Tool

SMART:

Simple Modular Architecture Research Tool

PFAM:

Protein Family Database

CELLO:

SubCELlular LOcalization prediction

TMHMM:

Trans Membrane Hidden Markov Model

PFP FunDSeq:

Predicting Protein Fold Pattern with Functional Domain and Sequential Evolution Information

CTL:

Cytotoxic T Lymphocyte

HLA:

Human Leukocytes Antigen

MHC:

Major Histocompatibility Complex

pMHC:

Peptide MHC

PSIPRED:

PSI-blast based secondary structure PREDiction

SOPMA:

Self-Optimized Prediction Method with Alignment

NMR:

Nuclear magnetic Resonance

PDB:

Protein Data Bank

MD:

Molecular Dynamic Simulation

NMA:

Normal Mode Analysis

Tet-R:

Tetracyclin Repressor

NK cells:

Natural Killer cells

RMSD:

Root Mean Square Deviation

3-D:

3 Dimensional

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Funding

The research work was supported by the Karnataka Science and Technology Academy (KSTA), Govt of Karnataka through the ShortTerm Research Grant.

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Contributions

SS conceived the idea and KPK performed the experimental parts. Both authors were involved in data analysis, interpretation and writing the article. Both authors have read the final draft of the article.

Corresponding author

Correspondence to Suma Sarojini.

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The author declares no competing interests.

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Supplementary Information

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Supplementary file1 (DOCX 407 KB)

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Kootery, K.P., Sarojini, S. In silico analysis of NHP2 membrane protein, a novel vaccine candidate present in the RD7 region of Mycobacterium tuberculosis. Biologia 79, 355–372 (2024). https://doi.org/10.1007/s11756-023-01559-4

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  • DOI: https://doi.org/10.1007/s11756-023-01559-4

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