Analysis of viral diversity for vaccine target discovery

Khan A. M., Hu Y., Miotto O., Thevasagayam N. M., Sukumaran R., Raman H. S. A., ...Daha Fazla

BMC MEDICAL GENOMICS, cilt.10, 2017 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 10
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1186/s12920-017-0301-2
  • Dergi Adı: BMC MEDICAL GENOMICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: Viral diversity, Bioinformatics, Vaccine design, Target discovery, Reverse vaccinology, Database, Tools, T-CELL EPITOPES, MULTIPLE SEQUENCE ALIGNMENT, MHC CLASS-I, LYMPHOCYTE RESPONSES, COMPUTATIONAL SYSTEM, HLA-A, DENGUE, PREDICTION, BINDING, DATABASE
  • Bezmiâlem Vakıf Üniversitesi Adresli: Hayır

Özet

Background: Viral vaccine target discovery requires understanding the diversity of both the virus and the human immune system. The readily available and rapidly growing pool of viral sequence data in the public domain enable the identification and characterization of immune targets relevant to adaptive immunity. A systematic bioinformatics approach is necessary to facilitate the analysis of such large datasets for selection of potential candidate vaccine targets.