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DNA Bacteriophages01:26

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Bacteriophages, or phages, are viruses that specifically infect bacteria, utilizing their genetic material to hijack host cellular machinery for replication. DNA bacteriophages employ single-stranded DNA (ssDNA) or double-stranded DNA (dsDNA) genomes. These phages exhibit diverse replication strategies and host interactions, influencing their ecological roles and applications in biotechnology and medicine.ssDNA BacteriophagesssDNA phages, with their small genomes, utilize unique strategies to...
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Rapid, Seamless Generation of Recombinant Poxviruses using Host Range and Visual Selection
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B-vac a robust software package for bacterial vaccine design.

Amjad Ali1,2, Muhammad Hurrarah Bin Hamid3, Samavi Nasir3

  • 1Atta Ur Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Sector H-12, Islamabad, 44000, Pakistan. amjad.ali@asab.nust.edu.pk.

Scientific Reports
|August 28, 2025
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Summary

Reverse Vaccinology (RV) streamlines vaccine discovery using bioinformatics. A new pipeline, B-vac, enhances bacterial vaccine design with user-friendly, offline analysis for improved accessibility and accuracy.

Keywords:
Alternative therapiesAntimicrobial resistanceB-vacBacteriaBacterial vaccinesReverse vaccinology

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Area of Science:

  • Bioinformatics
  • Vaccinology
  • Computational Biology

Background:

  • Reverse Vaccinology (RV) leverages bioinformatics for pathogen genomic analysis to identify potential vaccine targets.
  • Existing RV tools face limitations in prediction accuracy, computational requirements, and accessibility for researchers.
  • There is a need for streamlined, user-friendly tools to facilitate bacterial vaccine design.

Purpose of the Study:

  • To introduce B-vac, a novel executable pipeline for streamlined bacterial vaccine design.
  • To address the challenges of prediction accuracy, computational demands, and accessibility in current RV tools.
  • To provide a user-friendly, offline solution for high-throughput proteomics data analysis in vaccine development.

Main Methods:

  • B-vac is an executable pipeline with modules for Localization, Non-host Homolog, Virulence Factor, and Epitope Mapping.
  • It utilizes a string-based matching approach for comparing user-supplied proteomes against curated databases.
  • The pipeline operates offline, incorporating epitope libraries and virulence factor databases for local processing.

Main Results:

  • B-vac demonstrated effectiveness in identifying vaccine candidates when evaluated using the Helicobacter pylori proteome.
  • The pipeline offers high-throughput proteomics data analysis with user-settable variables and filters.
  • Offline usability and a user-friendly interface were key features, enhancing accessibility.

Conclusions:

  • B-vac provides a user-friendly, standalone solution for bacterial vaccine development.
  • The pipeline addresses key gaps in convenience and accessibility compared to existing RV tools.
  • B-vac facilitates efficient identification of immunogenic protein motifs for vaccine design.