Using combinatorial bioinformatics methods to analyze annual perspective changes of influenza viruses and to accelerate development of effective vaccines

Yu Jen Hu, Kuan Chih Chow, Ching Chuan Liu, Li Jen Lin, Sheng Cheng Wang, Shulhn Der Wang

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The standard World Health Organization procedure for vaccine development has provided a guideline for influenza viruses, but no systematic operational model. We recently designed a systemic analysis method to evaluate annual perspective sequence changes of influenza virus strains. We applied dnaml of PHYLIP 3.69, developed by Joseph Felsenstein of Washington University, and ClustalX2, developed by Larkin et al, for calculating, comparing, and localizing the most plausible vaccine epitopes. This study identified the changes in biological sequences and associated alignment alterations, which would ultimately affect epitope structures, as well as the plausible hidden features to search for the most conserved and effective epitopes for vaccine development. Addition our newly designed systemic analysis method to supplement the WHO guidelines could accelerate the development of urgently needed vaccines that might concurrently combat several strains of viruses within a shorter period.

Original languageEnglish
Pages (from-to)774-778
Number of pages5
JournalJournal of the Formosan Medical Association
Volume114
Issue number8
DOIs
Publication statusPublished - 2015 Aug 1

All Science Journal Classification (ASJC) codes

  • General Medicine

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