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Peptide:MHC Tetramer-based Enrichment of Epitope-specific T cells
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Advances in Computational and Bioinformatics Tools and Databases for Designing and Developing a Multi-Epitope-Based

Mohammad Mahfuz Ali Khan Shawan1, Ashish Ranjan Sharma2, Sajal Kumar Halder1

  • 1Department of Biochemistry and Molecular Biology, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, 1342 Bangladesh.

International Journal of Peptide Research and Therapeutics
|May 30, 2023
PubMed
Summary

Computational methods accelerate the design of multi-epitope peptide vaccines, offering a faster and cost-effective alternative to traditional vaccine development. This approach aids researchers in creating potent immunogens for infectious disease prevention.

Keywords:
Computational toolsDatabasesEpitope-based peptide vaccineImmune responseImmunoinformaticsMicrobial infectionVaccineVaccinomics

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Area of Science:

  • Vaccinology
  • Immunoinformatics
  • Computational Biology

Background:

  • Vaccines are crucial for preventing infectious diseases, saving millions of lives annually.
  • Traditional vaccine development is slow, costly, and complex.
  • Multi-epitope peptide vaccines offer a novel approach using pathogen fragments (epitopes).

Purpose of the Study:

  • To provide researchers with updated information on computational approaches for designing multi-epitope peptide vaccines.
  • To highlight the advantages of *in silico* vaccine design.
  • To assist in the rapid and cost-effective tailoring of vaccine candidates.

Main Methods:

  • Utilizing bioinformatics, immunoinformatics, and vaccinomics.
  • Employing reverse vaccinology principles and vaccine databases.
  • Leveraging high-throughput techniques for *in silico* design.

Main Results:

  • Computational tools enable precise, robust, and safe vaccine design.
  • Accelerated development allows vaccine candidates to enter clinical trials sooner.
  • The *in silico* approach is effective, economical, and time-saving.

Conclusions:

  • Modern computational strategies are revolutionizing vaccine design and development.
  • *In silico* methods facilitate the creation of next-generation immunogens.
  • This approach supports faster, more cost-effective vaccine production.